The Official Course Outline now lives in ECOS.
ECOS is UNSW's Enterprise Course Outline Solution.
Course Code  COMP9020  
Course Title  Foundations of Computer Science  
Convenor  Jiaojiao Jiang  
Admin  Hao Ren  
Contact Email  cs9020@cse.unsw.edu.au  
Lectures 


Tutorials  Refer to Timetable for details. This applies from Week 2 to Week 10, including Week 6.  
Units of Credit  6  
Course Website  http://www.cse.unsw.edu.au/~cs9020  
Ed Forum  https://edstem.org/au/courses/19133/discussion/  
Handbook Entry  http://www.handbook.unsw.edu.au/postgraduate/courses/current/COMP9020.html 
The official 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 and relation theory; induction, recursion and recurrence relations; order of growth of functions; structured counting (combinatorics); discrete probability; graph theory and trees for algorithmic applications; propositional logic and boolean algebras.
This course is typically taken early in the Masters program and provides a foundation for the formal reasoning that is required in subsequent courses.
After successfully completing this course, you will have developed an increased level of mathematical maturity to assist with the fundamental problem of finding, formulating, and proving properties of programs.
CLO1 : Explain the foundational structures used in discrete mathematics
CLO2 : Explain basic number theory concepts and definitions
CLO3 : Explain the fundamental Computer Science concepts of recursion and induction
CLO4 : Analyze the correctness and efficiency of algorithms
CLO5 : Explain Boolean and propositional logic
CLO6 : Explain simple combinatorics, probability and statistics
CLO7 : Apply mathematical tools to formulate and prove problems in Computer Science
CLO8 : Explore additional approaches to problem solving by identifying broader abstract connections between concepts
Item  Due  Marks 
Weekly Quizzes  Friday 23:59 of the Following Week  8 * 2.5% = 20% 
Midterm Test  Week 6, Time and Date TBC  20% 
Final Exam  Examination Period, Time and Date TBC 
60%

Hurdle Requirement: You must achieve 40% on the Final Exam (24% out of 60%) to pass the course.
Week  Lectures  Tutorials  Assessment Due 
W1 
L1  Introduction & Number Theory
L2  Number Theory (continued) 


W2 
L1  Set Theory
L2  Set Theory (continued) 
Number Theory


W3 
L1  Relation
L2  Relation (continued) 
Set Theory 
Quiz 1 (W1 Contents)
Quiz 2 (W2 Contents) Due Friday 23:59 
W4 
L1  Function
L2  Logic 1: Boolean 
Relation 
Quiz 3 (W3 Contents)
Due Friday 23:59 
W5 
L1  Logic 2: Propositional
L2  Sequence & Induction 
Function and Boolean 1/2 
Quiz 4 (W4 Contents)
Due Friday 23:59 
W6 

Boolean 2/2, Propositional & Consultation  Midterm Test 
W7 
L1  Recursion
L2  Counting 
Sequence and Induction 
Quiz 5 (W5 Contents)
Due Friday 23:59 
W8 
L1  Probability and Statistics
L2  Probability and Statistics (continued) 
Recursion and Counting 
Quiz 6 (W7 Contents)
Due Friday 23:59 
W9 
L1  Graph
L2  Graph (continued) 
Probability and Statistics 
Quiz 7 (W8 Contents)
Due Friday 23:59 
W10 
L1  Algorithm Analysis & Formal Languages
L2  Course Revision & Exam Information 
Graph Theory 
Quiz 8 (W9 Contents)
Due Friday 23:59 
W11 


W12  Good luck with your exams!  Final Exam 
Students are strongly encouraged to attend all classes and review lecture recordings.
No compulsory textbooks. The following resources may be helpful:
This course is evaluated each session using the myExperience system 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 lecturerincharge of any problems as soon as they arise.
Thanks to Professor Michael Thielscher for his guidance and Dr. Sebastian SequoiahGrayson for his explanation in the following paragraphs.
Be excellent to each other.
Be excellent to yourselves.
Also the following is wordy, but important  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'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 , Grievance Officer , or one of the student representatives.
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 online 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:
You should also read the following page which describes your rights and responsibilities in the CSE context:
Resource created Thursday 22 August 2024, 07:52:01 PM, last modified Monday 09 September 2024, 12:05:19 PM.