Contents
- Course Details
- Course Summary
- Assumed Knowledge
- Student Learning Outcomes
- Teaching Strategies
- Teaching Rationale
- Student Conduct
- Assessment
- Course Schedule
- Resources for Students
- Course Evaluation and Development
Course Details
| Course Code | COMP9020 | |||||||||||||||
| Course Title | Foundations of Computer Science | |||||||||||||||
| Convenor | Michael Thielscher | |||||||||||||||
| Admin | Michael Schofield | |||||||||||||||
| Classes |
|
|||||||||||||||
| Consultations |
|
|||||||||||||||
| Units of Credit | 6 | |||||||||||||||
| Course Website | http://www.cse.unsw.edu.au/~cs9020 | |||||||||||||||
| Handbook Entry | http://www.handbook.unsw.edu.au/postgraduate/courses/current/COMP9020.html |
Course Summary
The scope is: mathematical methods for designing correct and efficient programs; mathematics for algorithm analysis; logic for proving and verification.
The actual content is taken from a list of subjects that constitute the basis of the tool box of every serious practitioner of computing: set, function and relation theory; propositional logic and boolean algebras; graph theory and trees for algorithmic applications; induction, recursion and recurrence relations; order of growth of functions; structured counting (combinatorics); discrete probability.
Assumed Knowledge
None
Student Learning Outcomes
After successfully completing this course, students will have developed an increased level of mathematical maturity to assist with the fundamental problem of
- finding and formulating properties of programs, especially their correctness w.r.t. given requirements and specifications
- analysing and proving properties of programs, in particular their correctness and runtime behaviour
Online quizzes, mid-term assignment and final exam will ensure that students have acquired this level of mathematical maturity.
This course contributes to the development of the following graduate capabilities:
| Graduate Capability | Acquired in |
| Scholars capable of independent and collaborative enquiry, rigorous in their analysis, critique and reflection, and able to innovate by applying their knowledge and skills to the solution of novel as well as routine problems | lectures, in-class exercises, problem sets, quizzes |
| Professionals capable of ethical, self-directed practice and independent lifelong learning | problem sets, quizzes |
| Global citizens who are culturally adept and capable of respecting diversity and acting in a socially just and responsible way | interaction with your lecturer and fellow students |
Teaching Strategies
- Lectures introduce concepts and show examples
- Problem sets reinforce concepts, provide additional examples and allow students to solve problems
- Quizzes allow students to demonstrate their problem-solving skills
Teaching Rationale
Lectures will include exercises where we examine the practice of formulating and proving mathematical properties of relevance to Computer Science. Problem sets and quizzes aim to deepen analysis and understanding via additional examples and problems.
Student Conduct
The Student Code of Conduct ( Information , Policy ) sets out what the University expects from students as members of the UNSW community. As well as the learning, teaching and research environment, the University aims to provide an environment that enables students to achieve their full potential and to provide an experience consistent with the University's values and guiding principles. A condition of enrolment is that students inform themselves of the University's rules and policies affecting them, and conduct themselves accordingly.
In particular, students have the responsibility to observe standards of equity and respect in dealing with every member of the University community. This applies to all activities on UNSW premises and all external activities related to study and research. This includes behaviour in person as well as behaviour on social media, for example Facebook groups set up for the purpose of discussing UNSW courses or course work. Behaviour that is considered in breach of the Student Code Policy as discriminatory, sexually inappropriate, bullying, harassing, invading another one's privacy or causing any person to fear for their personal safety is serious misconduct and can lead to severe penalties, including suspension or exclusion from UNSW.
If you have any concerns, you may raise them with your lecturer, or approach the School Ethics Officer , a Grievance Officer , or one of the
Plagiarism is defined as using the words or ideas of others and presenting them as your own. UNSW and CSE treat plagiarism as academic misconduct, which means that it carries penalties as severe as being excluded from further study at UNSW. There are several on-line sources to help you understand what plagiarism is and how it is dealt with at UNSW:
Make sure that you read and understand these. Ignorance is not accepted as an excuse for plagiarism. In particular, you are also responsible that your assignment files are not accessible by anyone but you by setting the correct permissions in your CSE directory and code repository, if using. Note also that plagiarism includes paying or asking another person to do a piece of work for you and then submitting it as your own work.
UNSW has an ongoing commitment to fostering a culture of learning informed by academic integrity. All UNSW staff and students have a responsibility to adhere to this principle of academic integrity. Plagiarism undermines academic integrity and is not tolerated at UNSW. Plagiarism at UNSW is defined as using the words or ideas of others and passing them off as your own.
If you haven't done so yet, please take the time to read the full text of
The pages below describe the policies and procedures in more detail:
- Student Code Policy
- Student Misconduct Procedure
- Plagiarism Policy Statement
- Plagiarism Management Procedure
You should also read the following page which describes your rights and responsibilities in the CSE context:
Assessment
| Item | Topics | Due | Marks |
| Online Quizzes | All topics | Weeks 3-6, 8-10 | 14% |
| Online Mid-term Assignment | All topics from week 1-5 | Week 6 | 26% |
| Online Final Exam | All topics from week 1-9 | Exam period | 60% |
Each of the 7 weekly assignments is worth 2 marks (7 * 2 = 14).
Your overall score in the course will be the maximum of:
- weekly marks + mid-term + exam
- weekly marks + exam * (86/60)
- mid-term + exam * (74/60)
- exam * (100/60)
In other words: if you do better in the final exam, then the weekly quizzes and/or your mid-term assignment will be ignored.
To pass the course, your overall score must be 50 or higher and your mark for the final exam must be 25 or higher. If you meet both conditions, your overall score will be your mark for this course.
Course Schedule
| Week | Lectures | Assessments |
| 1 | Numbers, Sets, Formal Languages | – |
| 2 | Logic, Proofs, Boolean Algebra | Quiz |
| 3 | Functions and Relations | Quiz |
| 4 | Equivalence and Order Relations | Quiz |
| 5 | Graphs | Quiz |
| 6 | – | Mid-term online assignment |
| 7 | Induction, Recursion, Big-Oh Notation | Quiz |
| 8 | Counting and Probability | Quiz |
| 9 | Conditional Probability and Expectation | Quiz |
| 10 | Course Review | – |
Resources for Students
The primary textbook associated with this course is
- [RW] KA Ross and CR Wright, Discrete Mathematics, 5th edition, Pearson, 2003.
This has been the recommended textbook for the course for the last 10 or more years. The following comprehensive lecture notes, which are from a similar course at MIT, provide supplementary material:
- [LLM] E Lehman, FT Leighton and A Meyer, Mathematics for Computer Science, Creative Commons 2015.
Course Evaluation and Development
This course is being continuously improved and we will conduct a survey through UNSW's myExperience process at the end of session to obtain feedback on the quality of the various course components. Your participation in the survey will be greatly appreciated. Students are also encouraged to provide informal feedback during the session, and to notify the lecturer-in-charge of any problems as soon as they arise.
Student feedback from last offerings indicated that students were very satisfied with the course, but suggested additional "warming up" exercises at the beginning of each problem set. We will endeavour to add these in this offering.
Resource created Wednesday 03 February 2021, 04:06:52 PM, last modified Thursday 11 February 2021, 02:01:29 PM.