Teaching Assistant Positions available for 2020-2021 in the School of Computing

The Teaching Assistant Positions are available in the School of Computing for the 2020-2021 academic year.

To apply for a TA position:

  1. Go to https://auth.caslab.queensu.ca/ta/cisc. You will be prompted by the Queen’s sign-on portal for your netid and password.
  2. After logging on, provide your name and email to the system.
  3. Next, go to the “TA applications” tab at the top of the page, select “Provide background”, and provide your background information. Then click “Submit” at the bottom of the page.
  4. Finally, and only after providing your background and clicking “Submit” on that page, go to the “TA applications” tab, select “Apply”, and indicate the courses to which you are applying. Then click “Submit”.

The system will tell you when your application is complete.

Deadline is July 24, 2020. Incomplete applications will not be considered.

For more information please contact:

Debby Robertson
Graduate Program Assistant
School of Computing
Queen’s University

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Teaching Position Available for the School of Computing – Summer 2020

The School of Computing at Queen’s University invites applications from suitably qualified candidates interested in teaching courses shown below.

The University invites applications from all qualified individuals. Queen’s University is committed to employment equity and diversity in the workplace and welcomes applications from women, visible minorities, aboriginal people, persons with disabilities, and persons of any sexual orientation or gender identity. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Applications will be received until May 15, 2020. Review of applications will commence shortly thereafter, and the final appointment is subject to budgetary approval. Additional information about the School of Computing can be found at http://www.queensu.ca

Courses available are listed below.

To apply as a Term Adjunct, see: http://flux.cs.queensu.ca/employment/applying-for-a-term-adjunct-position/

To apply as a Teaching Fellow, see: http://flux.cs.queensu.ca/employment/applying-for-a-teaching-follow-position/

 



Academic Year 2019/2020 Summer Term

This summer term period is from July 1, 2020 to August 31, 2020.

Classes will be in session from July 2, 2020 to August 10, 2020.

Applications will be received until May 15, 2020.



CISC 101/3.0 Elements of Computing Science
Introduction to algorithms: their definition, design, coding, and execution on computers. Intended for students who have no programming experience. All or most assignment work will be completed during lab time.
NOTE Also offered online. Consult Arts and Science Online. Learning Hours may vary.
LEARNING HOURS 120 (36L;24Lb;60P)
EXCLUSION(S) APSC 142/3.0; APSC 143/3.0; CISC 110/3.0; CISC 151/3.0
ONE-WAY EXCLUSION May not be taken with or after: CISC 121/3.0; CISC at the 200-level or above.

(This course will be offered online.)


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Teaching Positions Available for the School of Computing – 2020-21 Academic Year

The School of Computing at Queen’s University invites applications from suitably qualified candidates interested in teaching courses shown below.

The University invites applications from all qualified individuals. Queen’s University is committed to employment equity and diversity in the workplace and welcomes applications from women, visible minorities, aboriginal people, persons with disabilities, and persons of any sexual orientation or gender identity. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Applications will be received until March 20, 2020. Review of applications will commence shortly thereafter, and the final appointment is subject to budgetary approval. Additional information about the School of Computing can be found at http://www.queensu.ca

Courses available are listed below.

To apply as a Term Adjunct, see: http://flux.cs.queensu.ca/employment/applying-for-a-term-adjunct-position/

To apply as a Teaching Fellow, see: http://flux.cs.queensu.ca/employment/applying-for-a-teaching-follow-position/

 



Academic Year 2020/2021 Fall Term

This fall term period is from September 1, 2020 to December 31, 2020.

Classes will be in session from September 8, 2020 to December 4, 2020.

Applications will be received until March 20, 2020.



CISC 101/3.0 Elements of Computing Science
Introduction to algorithms: their definition, design, coding, and execution on computers. Intended for students who have no programming experience. All or most assignment work will be completed during lab time.
NOTE Also offered online. Consult Arts and Science Online. Learning Hours may vary.
LEARNING HOURS 120 (36L;24Lb;60P)
EXCLUSION(S) APSC 142/3.0; APSC 143/3.0; CISC 110/3.0; CISC 151/3.0
ONE-WAY EXCLUSION May not be taken with or after: CISC 121/3.0; CISC at the 200-level or above.


CISC 181/3.0 Digital Societies
This introductory course provides a broad overview and ethical implications of technological topics and trends in the digital world such as the Internet of Things (IoT), Social Networks, Security and Privacy, Data Analytics, and Artificial Intelligence (AI). No programming experience is required.
LEARNING HOURS 120 (36L;84P)
EQUIVALENCY CISC P81/3.0


CISC 282/3.0 Fundamentals of Web Development
This course surveys current best practices for implementing attractive, usable, secure and maintainable web applications. Other issues considered include: accessibility, platform and browser independence, licensing of intellectual property, scalability, user privacy, and using web technologies in mobile development.
LEARNING HOURS 120 (36L;48O;36P)
PREREQUISITE Level 2 and C-in CISC 124/3.0.
EQUIVALENCY CISC P82/3.0.


CISC 422/3.0 Formal Methods in Software Engineering
Mathematical methods for describing software behaviour and structure. Topics include (but are not limited to) the following: Requirements specification. Module specification: axiomatic, algebraic, and trace specifications. Abstract models. Verification. Specification-based validation.
LEARNING HOURS 120 (36L;84P)
PREREQUISITE Level 4 and registration in a School of Computing Plan and C-in CISC 223/3.0.


CISC 451/3.0 Topics in Data Analytics
Content will vary from year to year; typical areas covered may include: tools for large scale data analytics (Hadoop, Spark),data analytics in the cloud, properties of large scale social networks, applications of data analytics in security.
LEARNING HOURS 120(36l;36Lb;48P)
PREREQUISITE C-in (CISC 333/3.0or CISC 351/3.0or CISC 372/3.0).


CISC 467/3.0 Fuzzy Logic
History of fuzzy theory; fundamental concepts of fuzzy theory: sets, relations, and logic operators. Approximate reasoning, fuzzy inference, possibility theory. Separation from probability. Fuzzy control systems. Fuzzy pattern recognition. Advanced topics may include fuzzy expert systems, financial systems, graph theory, optimization.
LEARNING HOURS 120 (36L;84P)
PREREQUISITE Level 4 and registration in a BCMP or COCA Plan and C-in CISC 204/3.0.


COGS 201/3.0 Cognition and Computation
Introduction to the computational aspects of the mind. Implementation of computer programs for reasoning, decision making, and problem solving to understand these mental processes. Information theory and behaviourism; computational models of cognition, perception and memory processes demonstrating modeling approaches, and cognitive architectures.
LEARNING HOURS 120 (36L;84P)
PREREQUISITE Level 2 or above and C‐ in (COGS 100/3.0 or PSYC 100/6.0). EXCLUSION(S) COGS 200/6.0; PSYC 220/6.0



Academic Year 2020/2021 Winter Term

This fall term period is from January 1, 2021 to April 30, 2021.

Classes will be in session from January 4, 2021 to April 9, 2021.

Applications will be received until March 20, 2020.



CISC 101/3.0 Elements of Computing Science
Introduction to algorithms: their definition, design, coding, and execution on computers. Intended for students who have no programming experience. All or most assignment work will be completed during lab time.
NOTE Also offered online. Consult Arts and Science Online. Learning Hours may vary.
LEARNING HOURS 120 (36L;24Lb;60P)
EXCLUSION(S) APSC 142/3.0; APSC 143/3.0; CISC 110/3.0; CISC 151/3.0
ONE-WAY EXCLUSION May not be taken with or after: CISC 121/3.0; CISC at the 200-level or above.


CISC 151/3.0 Elements of Computing with Data Analytics
Introduction to algorithms: their definition, design, coding, and execution on computers, with applications drawn from data analytics, including simple prediction and clustering. Intended for students who have no programming experience. All or most assignment work will be completed during lab time.
LEARNING HOURS 120 (36L;36Lb;48P)
EXCLUSION(S) APSC 142/3.0; APSC 143/3.0; CISC 101/3.0; CISC 110/3.0
ONE-WAY EXCLUSION May not be taken with or after CISC 121/3.0; CISC; SOFT at the 200-level and above.


CISC 181/3.0 Digital Societies
This introductory course provides a broad overview and ethical implications of technological topics and trends in the digital world such as the Internet of Things (IoT), Social Networks, Security and Privacy, Data Analytics, and Artificial Intelligence (AI). No programming experience is required.
LEARNING HOURS 120 (36L;84P)
EQUIVALENCY CISC P81/3.0


CISC 226/3.0 Game Design
An introduction to techniques for designing elementary computer games. Topics will include game development tools and processes, principles of game design, game prototyping and game evaluation.
LEARNING HOURS 120 (36L;60G;24P)
PREREQUISITE Level 2 or above and C-in CISC 124/3.0.


CISC 324/3.0 Operating Systems
Layered operating systems for conventional shared memory computers: concurrent processes. Synchronization and communication. Concurrent algorithms. Scheduling. Deadlock. Memory management. Protection. File systems. Device management. Typical layers.
LEARNING HOURS 120 (36L;84P)
PREREQUISITE Registration in a School of Computing Plan and C-in (CISC 221/3.0 and CISC 235/3.0).


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Postdoctoral Fellowship Opportunities

There are no positions currently available in the School of Computing.

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