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NOTE: Course offerings are subject to budgetary approval
Posting Reference: CS CS1003 FR01B
| Course Prefix: | CS | Course Number: | CS1003 |
| Course Section: | FR01B | Course Name: | Prog & Problem Solving for Eng |
| Term: | Winter | Campus: | Fredericton |
| Faculty: | Computer Science, Faculty of | Department: | Computer Science |
| Position Start Date: | 2026-01-01 | Position End Date: | 2026-04-30 |
| Posting Date: | 2025-05-28 | Application Deadline: | 2025-06-22 |
| Applications to be submitted via: | fcs@unb.ca | ||
| Requested By: | Kelley Nelson |
| Days: | M,W,F | Time: | 9:30-10:20AM |
| Number of Positions Available: | 1 | Total Credit Hours: | 4 |
| Mode of Delivery: | Face to Face | Location: | On Campus |
| Stipend Amount: | 9590.67 |
Introduction to the use of digital computers for problem solving and communicating solutions. Covers use of procedures, decisions, loops and arrays focusing on scientific and engineering problem analysis, algorithm design, and program structure. Also includes organizing, tabulating, and graphing program output with different software tools to communicate results. This course is currently taught primarily in Python. NOTE: This course may not be taken for credit by BCS or BScSwE students.
Requisites:
Take PHYS*1081 or with permission of the instructor - Must be taken either prior to or at the same time as this course.
Introduction to the use of digital computers for problem solving and communicating solutions. Covers use of procedures, decisions, loops and arrays focusing on scientific and engineering problem analysis, algorithm design, and program structure. Also includes organizing, tabulating, and graphing program output with different software tools to communicate results. This course is currently taught primarily in Python. NOTE: This course may not be taken for credit by BCS or BScSwE students.
Requisites:
Take PHYS*1081 or with permission of the instructor - Must be taken either prior to or at the same time as this course.
Ph.D. or Master degree in Computer Science. Demonstrated knowledge of the subject matter and relevant experience with teaching or professional presentations .Professional IT-related experience is a strong plus and teaching experience (DUT certificate is an asset).
Lab is on Tuesday 4:00-5:20PM