COMP SCI 7211OL - Foundations of Computer Science - Python B
| Career: | Postgraduate Coursework |
|---|---|
| Units: | 3 |
| Term: | Online Teaching Period 3 |
| Campus: | Online |
| Contact: | Up to 4 hours per week |
| Restriction: | Graduate Diploma in Data Science (Applied) OL OR Master of Data Science (Applied) OL Only |
| Available for Study Abroad and Exchange: | No |
| Available for Non-Award Study: | No |
| Pre-Requisite: | Carousel 1 Courses: COMP SCI 7212OL, COMP SCI 7210OL, DATA 7201OL & DATA 7202OL or MATHS 7203OL |
| Assumed Knowledge: | Assumed knowledge programming experience as would be gained from COMP SCI 7210OL. |
| Incompatible: | COMP SCI 7202OL |
| Assessment: | Assignments and/or exam |
| Syllabus: |
Introduces fundamental concepts of building data science applications in Python. Object oriented fundamentals – methods, and classes. Algorithms and problem solving - problem solving processes and strategies. Computational complexity of algorithms. Software development tools and techniques - testing: black box, requirements. Representation and manipulation of large scale data sets. |
Course Fees
Study Abroad student tuition fees are available here
Only some Postgraduate Coursework programs are available as Commonwealth Supported. Please check your program for specific fee information.
The fees displayed below for international students are for students commencing a program in 2024 only. International students who commenced a program in 2023 or prior can find their fee here.
| EFTSL | |||
|---|---|---|---|
| 0.125 | |||
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Course Outline
A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here
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Critical Dates
| Term | Last Day to Add Online | Census Date | Last Day to WNF | Last Day to WF |
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| Online Teaching Period 3 | Fri 19/04/2024 | Fri 17/05/2024 | Mon 03/06/2024 | Mon 17/06/2024 |
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Class Details
| Enrolment Class: Workshop | |||||||
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| Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
| 63002 | 01OL | 300 | 282 | This class does not have any timetabled face-to-face sessions. Please check MyUni or contact your Course Coordinator for details. | |||
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