COSC131-21S2 (C) Semester Two 2021

Introduction to Programming for Engineers

15 points

Details:
Start Date: Monday, 19 July 2021
End Date: Sunday, 14 November 2021
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 1 August 2021
  • Without academic penalty (including no fee refund): Friday, 1 October 2021

Description

Computer programming in a high-level language with special emphasis on numerical computation. This course is required for engineering intermediate and is an alternative to COSC121 as a prerequisite for COSC122 and all 200 level COSC and SENG courses. COSC131 teaches the fundamentals of computer programming using the Python language and can be taken by students who have no previous programming background. Topics include expressions, assignment, selection and iteration, structured data (lists, dictionaries, tuples, arrays), functional decomposition, file processing, numerical computation with numpy, graph plotting with matplotlib, some basic numerical algorithms and an introduction to object-oriented programming.

2021 Covid-19 Update: Please refer to the course page on AKO | Learn for all information about your course, including lectures, labs, tutorials and assessments.

Learning Outcomes

Students will:
Understand the fundamental Python data types and their applications.
Be able to implement basic algorithms using selection, iteration and function calling.
Be able to apply their understanding of the Python language in designing, implementing and testing programs to solve simple problems in science and engineering.
Be able to (re)structure code using functions to reduce complexity.
Be able to use the numpy numerical library to perform a range of numerical calculations and to use the matplotlib library to plot graphs.
Be familiar with several basic numerical algorithms for root finding, numerical integration and series evaluation.
Be familiar with simple object oriented programming in Python.
Be able to review and assess the quality and maintainability of Python code.

University Graduate Attributes

This course will provide students with an opportunity to develop the Graduate Attributes specified below:

Critically competent in a core academic discipline of their award

Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.

Employable, innovative and enterprising

Students will develop key skills and attributes sought by employers that can be used in a range of applications.

Restrictions

Timetable 2021

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Thursday 16:00 - 17:00 A1 Lecture Theatre
19 Jul - 25 Jul
Computer Lab A
Activity Day Time Location Weeks
01 Tuesday 11:00 - 13:00 Jack Erskine 001 Computer Lab
19 Jul - 29 Aug
13 Sep - 24 Oct
02 Wednesday 11:00 - 13:00 Jack Erskine 001 Computer Lab
19 Jul - 29 Aug
13 Sep - 24 Oct
03 Thursday 13:00 - 15:00 Jack Erskine 001 Computer Lab
19 Jul - 29 Aug
13 Sep - 24 Oct
04 Monday 14:00 - 16:00 Jack Erskine 001 Computer Lab
19 Jul - 29 Aug
13 Sep - 24 Oct
05 Monday 11:00 - 13:00 Jack Erskine 001 Computer Lab
19 Jul - 29 Aug
13 Sep - 24 Oct
Tutorial A
Activity Day Time Location Weeks
01 Friday 15:00 - 16:00 C1 Lecture Theatre
26 Jul - 29 Aug
13 Sep - 24 Oct

Examination and Formal Tests

Test A
Activity Day Time Location Weeks
01 Friday 16:00 - 17:30 Online Delivery
13 Sep - 19 Sep
04 Friday 19:00 - 20:30 Online Delivery
13 Sep - 19 Sep

Timetable Note

Students must attend one activity from the lecture and computer lab sections; the tutorial however is optional.

Course Coordinator

Richard Lobb

Course Administrator

Paul McKeown

Assessment

2021 Covid-19 Update: Please refer to the course page on AKO | Learn for all information about your course, including lectures, labs, tutorials and assessments.

Textbooks / Resources

There is no prescribed textbook for the course, as the lecture notes, videos and learning modules should be sufficient for most students. However, those wanting extra reading might wish to consider some of the recommended reading given on the Learn site of the course.

Additional Course Outline Information

Assessment and grading system

The Computer Science department's grading policy states that in order to pass a course you must meet two requirements:

1. You must achieve an average of at least 50% on the combined assessment items.
2. You must achieve a mark of at least 45% on the weighted average of the test and exam marks, using the weightings given in the "Assessment" section above.
If you satisfy both these criteria, your grade will be determined by the following University- wide scale for converting marks to grades: a total mark of 50% is sufficient for a C- grade, a total mark of 55% earns a C grade, 60% earns a B- grade and so forth. However if you do not satisfy both the passing criteria you will be given either a D or E grade depending on marks. Marks are sometimes scaled to achieve consistency between courses from year to year.

Costs

Your usercode on our computer system enables you to access a range of services. Some of these services are not free and you are responsible for ensuring that your account contains sufficient funds to cover any charges you incur. If your account balance becomes negative then you may be unable to use any computer facilities until you have cleared this debt. The Computer Science Department is not involved with the financial details of your account - you should go to the Information and Communications Technology Services (ICTS) Department for this.
The main chargeable service you are likely to make use of is printing. To use chargeable services you will need to have money loaded on your Canterbury Card.

See the Information and Communication Technology Services (ICTS) Department home page for details of services and charges.

Indicative Fees

Domestic fee $877.00

International fee $4,438.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Computer Science and Software Engineering .

All COSC131 Occurrences