Mathematics and Computer Studies

Please Note:

Prospective job candidates are URGED to check with the respective department, dean, or payroll office for a more detailed description of qualifications.  DO NOT apply for jobs via CUPE 3912, but directly with the contact person for each job posting. Some departments may accept applications online; others might not. It is our recommendation that you include a COMPLETE CV with every application, even if it is not requested.

Jobs are listed newest-to-oldest and expired job postings are periodically archived.

DAL


Position Title Part-Time Academic (STAT/MATH 2080.03 – Winter Term of 2021)
Posting Number PTAP473P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for teaching section 01 of Statistical Methods for Data Analysis and Inference
(STAT/MATH 2080.03) in the upcoming winter term (contract dates January 1 to April 30).The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.Please see the academic timetable ( www.dal.ca/timetable ) for the days, times & location(s) of this course. Please note this course is being delivered online.
Qualifications/Requirements of Position A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. The successful applicant must have demonstrated knowledge of the subject matter. Experience teaching large online classes or direct experience of teaching this class is considered an asset.

Please provide teaching evaluations if available.

Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment January 1, 2021 to April 30, 2021
Open Date 10/13/2020
Close Date 10/23/2020
Open Until Filled
Quick Link for Direct Access to Posting

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier

Position Title Part-Time Academic (MATH/ECON 3900.03 section 01 – Winter Term of 2021)
Posting Number PTAP460P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for the development and delivery of Financial Mathematics (MATH/ECON 3900.03, section 01) in the upcoming winter term. The contract date for teaching/delivery is January 1 to April 30. The course development start date is to be determined.

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days and times of this course. Please note the course is being delivered online.

Qualifications/Requirements of Position A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. Experience with course delivery in an online environment is also an asset. The successful applicant must have demonstrated knowledge of the subject matter.

Please provide teaching evaluations if available.

Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment January 1, 2021 to April 30, 2021
Open Date 10/13/2020
Close Date 10/22/2020
Open Until Filled
Quick Link for Direct Access to Posting

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier


Position Title Part-Time Academic (STAT/MATH 1060.03 – Winter Term of 2021)
Posting Number PTAP466P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for teaching Introductory Statistics for Science and Health Sciences (STAT/MATH 1060.03, section 02) in the upcoming winter term (contract dates January 1 to April 30).

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days, times & location(s) of this course. Please note this course is being delivered online.

Qualifications/Requirements of Position A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. The successful applicant must have demonstrated knowledge of the subject matter and experience teaching large online classes. Direct experience of teaching this class is considered an asset.

Please provide teaching evaluations if available.

Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment January 1, 2021 to April 30, 2021
Open Date 10/13/2020
Close Date 10/22/2020
Open Until Filled
Quick Link for Direct Access to Posting

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier


Position Title Part-Time Academic (MATH 3210.03 – Winter Term of 2021)
Posting Number PTAP465P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for the development and delivery of Introduction to Numerical Analysis (MATH 3210.03) in the upcoming winter term. The contract dates for teaching/delivery are from January 1 to April 30. The course development start date is to be determined.

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days, times & location(s) of this course. Please note this course is being delivered online.

Qualifications/Requirements of Position A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. Experience with course delivery in an online environment is also an asset. The successful applicant must have demonstrated knowledge of the subject matter.

Please provide teaching evaluations if available.

Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment January 1, 2021 to April 30, 2021
Open Date 10/13/2020
Close Date 10/22/2020
Open Until Filled
Quick Link for Direct Access to Posting

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier


Position Title Part-Time Academic (STAT 2450.03 – Winter Term of 2021)
Posting Number PTAP467P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for teaching section 01 of Intro Data Mining with R (STAT 2450.03) in the upcoming winter term (contract dates January 1 to April 30).

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days, times & location(s) of this course. Please note this course is being delivered online.

Qualifications/Requirements of Position A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. The successful applicant must have demonstrated knowledge of the subject matter. Experience teaching large online classes or direct experience of teaching this class is considered an asset.

Please provide teaching evaluations if available.

Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment January 1, 2021 to April 30, 2021
Open Date 10/13/2020
Close Date 10/22/2020
Open Until Filled
Quick Link for Direct Access to Posting

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier


Position Title Part-Time Academic (STAT/ACSC 3703.03 – Winter Term of 2021)
Posting Number PTAP469P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for the development and delivery of Actuarial Models I (STAT/ACSC 3703.03; section 01) in the upcoming winter term. The contract dates for teaching / delivery are from January 1 to April 30. The course development start date is to be determined.

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days, times & location(s) of this course. Please note the course is being delivered online.

Qualifications/Requirements of Position A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. Experience with online course delivery is also an asset. The successful applicant must have demonstrated knowledge of the subject matter.

Please provide teaching evaluations if available.

Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment January 1, 2021 to April 30, 2021
Open Date 10/13/2020
Close Date 10/23/2020
Open Until Filled
Quick Link for Direct Access to Posting

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier


Position Title Part-Time Academic (STAT 3450.03 – Winter Term of 2021)
Posting Number PTAP470P
Department/Unit Mathematics & Statistics
Location Halifax
Job Summary & Key Responsibilities The Part-Time Academic will be responsible for the development and delivery of a new course Statistical Learning with R (STAT 3450.03) in the upcoming winter term. The contract dates for delivery/teaching are from January 1 to April 30. The course development start date is to be determined.

The topics to be covered in the course are available from the Department Chair. Course descriptions are provided in the Undergraduate Calendar published online ( https://academiccalendar.dal.ca ) by the Registrar’s Office, Dalhousie University.

Please see the academic timetable ( www.dal.ca/timetable ) for the days, times & location(s) of this course. Please note the course is being delivered online.

Qualifications/Requirements of Position A combination of M.Sc. degree in Mathematics or Statistics and previous teaching experience is required. Completion of a PhD or PhD in progress is considered an asset. The successful applicant must have demonstrated knowledge of the subject matter. Experience teaching large online classes with R programming language heavily involved is considered an assest.

Please provide teaching evaluations if available.

Salary Range/Pay Rate Per CUPE Collective Agreement – Local 3912
Additional Information All offers of employment as a Part-Time Academic are conditional upon sufficient student enrolment in the course and approval by the University. Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Aboriginal people, persons with a disability, racially visible persons, women, persons of minority sexual orientations and gender identities, and all candidates who would contribute to the diversity of our community.
Term of appointment January 1, 2021 to April 30, 2021
Open Date 10/13/2020
Close Date 10/23/2020
Open Until Filled
Quick Link for Direct Access to Posting

Documents Needed to Apply

Required Documents

  1. Cover Letter
  2. Résumé / Curriculum Vitae (CV)
  3. List of referees

Optional Documents

  1. Teaching Dossier
 MSVU

Department/Faculty: Mathematics
Course Name: Statistics and Mathematics Preparation
Course Code: MATH 0027 18
Academic Term: Winter
Class Timetable: Asynchronous
Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Mathematics or Statistics.

In addition, experience teaching a similar course to prepare non-science
majors who will be taking further Mathematics and/or Statistics courses is
required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 11/2/2020
—————————————————


Department/Faculty: Mathematics
Course Name: Introductory Calculus II
Course Code: MATH 1114 02
Academic Term: Winter
Class Timetable: TTh 09:00AM – 10:15AM
Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD or Master’s degree in Mathematics. In addition, the successful
candidate must have prior experience teaching Introductory Calculus at the
University level in courses which include students from a variety of
majors.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner. Synchronous and asynchronous
discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————



—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 02
Academic Term: Winter
Class Timetable: MW 09:00AM – 10:15AM Sync. Online
Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.
In addition, experience teaching a similar introductory statistics course
to non-science majors.

Also experience with using MINITAB for data analysis is required.
Due to the Covid-19 pandemic this class will be taught entirely online.
Candidates must therefore have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.

 

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————



—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 03
Academic Term: Winter
Class Timetable: MW 12:00PM – 01:15PM Sync. Online

Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.
In addition, experience teaching a similar introductory statistics course
to non-science majors.

Also experience with using MINITAB for data analysis is required.
Due to the Covid-19 pandemic this class will be taught entirely online.
Candidates must therefore have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————



—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 04
Academic Term: Winter
Class Timetable: TTh 10:30AM – 11:45AM Sync. Online

Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.
In addition, experience teaching a similar introductory statistics course
to non-science majors.

Also experience with using MINITAB for data analysis is required.
Due to the Covid-19 pandemic this class will be taught entirely online.
Candidates must therefore have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————



—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 06
Academic Term: Winter
Class Timetable: TTh 01:30PM – 02:45PM Sync. Online

Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.
In addition, experience teaching a similar introductory statistics course
to non-science majors.

Also experience with using MINITAB for data analysis is required.
Due to the Covid-19 pandemic this class will be taught entirely online.
Candidates must therefore have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————



—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 07
Academic Term: Winter
Class Timetable: Th 06:00PM – 08:45PM Sync. Online

Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.
In addition, experience teaching a similar introductory statistics course
to non-science majors.

Also experience with using MINITAB for data analysis is required.
Due to the Covid-19 pandemic this class will be taught entirely online.
Candidates must therefore have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————



—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LL
Academic Term: Winter
Class Timetable: Th 03:00PM – 04:15PM Sync. Online
Course Unit Value: 0.125

—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Due to the Covid-19 pandemic this lab will be taught entirely online.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————



—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LN
Academic Term: Winter
Class Timetable: Th 04:30PM – 05:45PM Sync. Online

Course Unit Value: 0.125
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Due to the Covid-19 pandemic this lab will be taught entirely online.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————



—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DE
Academic Term: Winter
Class Timetable: W 06:30PM – 07:45PM

Course Unit Value: 0.125
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————



—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DF
Academic Term: Winter
Class Timetable: W 08:00PM-09:15PM

Course Unit Value: 0.125
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————



—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics I
Course Code: MATH 208D DG
Academic Term: Winter
Class Timetable: Th 09:30PM – 10:45PM

Course Unit Value: 0.125
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————



—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DC
Academic Term: Winter
Class Timetable: W 09:30PM – 10:45PM

Course Unit Value: 0.125
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————



 

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DD
Academic Term: Winter
Class Timetable: Th 06:30PM – 07:45PM

Course Unit Value: 0.125
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————



 

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DE
Academic Term: Winter
Class Timetable: Th 08:00PM – 09:15PM

Course Unit Value: 0.125
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————



 

—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209D DF
Academic Term: Winter
Class Timetable: Th 09:30PM – 10:45PM

Course Unit Value: 0.125
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————



 

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 29
Academic Term: Winter
Class Timetable: M 07:00PM – 09:00PM
Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.
In addition, experience teaching a similar introductory statistics course
to non-science majors.

Also experience with using MINITAB for data analysis is required.
Candidates must have experience using the Blackboard Collaborate virtual
classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.

—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————



—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics I
Course Code: MATH 2208 38
Academic Term: Winter
Class Timetable: T 07:00PM – 09:00PM

Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.
In addition, experience teaching a similar introductory statistics course
to non-science majors.

Also experience with using MINITAB for data analysis is required.
Candidates must have experience using the Blackboard Collaborate virtual
classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————



 

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 19
Academic Term: Winter
Class Timetable: M 07:00PM – 09:00PM
Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.
In addition, experience teaching a similar introductory statistics course
to non-science majors.

Also experience with using MINITAB for data analysis is required.
Due to the Covid-19 pandemic this class will be taught entirely online.
Candidates must therefore have experience using the Blackboard Collaborate

 

virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————



 

—————————————————
Department/Faculty: Mathematics
Course Name: Introduction to Statistics II
Course Code: MATH 2209 28
Academic Term: Winter
Class Timetable: T 08:00PM – 10:00PM

Course Unit Value: 0.5
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
PhD in Mathematics or Statistics, or a Masters degree in Statistics, or a
Masters degree in a field related to Statistics with at least one unit of
advanced coursework in Statistics.
In addition, experience teaching a similar introductory statistics course
to non-science majors.

Also experience with using MINITAB for data analysis is required.
Due to the Covid-19 pandemic this class will be taught entirely online.
Candidates must therefore have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. Candidates must also be
sensitive to the needs of distant, mature and part-time learners.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
This is a coordinated course with a laboratory component. The laboratory
components are taught by the laboratory instructor.  Instructors are
required to follow the common course syllabus and guidelines for
assignments, midterm and final exams, and grades.

Due to distance, the mailing of materials may extend beyond the
traditional time frames of the course.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————



—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LJ
Academic Term: Winter
Class Timetable: W 06:00PM – 07:15PM Sync. Online
Course Unit Value: 0.125
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Due to the Covid-19 pandemic this lab will be taught entirely online.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————



—————————————————
Department/Faculty: Mathematics
Course Name: LAB: Intro to Statistics II
Course Code: MATH 209L LI
Academic Term: Winter
Class Timetable: W 03:00PM – 04:15PM Sync. Online
Course Unit Value: 0.125
—————————————————
Start Date: 1/11/2021
End Date: 4/27/2021
—————————————————
Qualifications:
Bachelors degree with Major or Honours in Statistics, or in a field
related to Statistics. The candidate must have completed at least one unit
of coursework in Statistics. In addition, experience teaching similar
introductory statistics labs to non-science majors is required.

Due to the Covid-19 pandemic this lab will be taught entirely online.

Candidates must also have experience using the Blackboard Collaborate
virtual classroom. Candidates must be willing to participate in additional
training in the optimum range of teaching operations in the Moodle LMS and
in the Collaborate virtual classroom, if necessary, to reach the required
level of competency before the course begins. In addition, experience with
the use of MINITAB for data analysis is required. Candidates must be
sensitive to the needs of the mature learner.
Synchronous and asynchronous discussions occur during the week on-line.
—————————————————
Duties: Preparation, teaching, student consultation, grading and marking,
distribution of student evaluation questionnaires, involvement in student
appeals, and other duties appropriate to the
appointment. —————————————————
Additional Duties:
Lab sections are coordinated by the Mathematics Laboratory Instructor.
The lab instructor is required to follow the course syllabus and
guidelines for lab assignments and grading.

Email messages from students received outside the scheduled laboratory
time should be answered with reasonable promptness.
Due to distance, the mailing of materials may extend beyond the
traditional time frames.
—————————————————
Remuneration: Remuneration is in accordance with the Collective Agreement
between Mount Saint Vincent University and CUPE 3912
—————————————————
How to apply: Send your application accompanied by curriculum vitae and
the names of three references to:
Department Chair: Dr. Tina Harriott, Dept. of Mathematics and Computer
Science
Email: msvumath@msvu.ca

Application deadline: 10/31/2020
—————————————————