Course code  ENGG2440 
Course title  Discrete Mathematics for Engineers 離散數學的工程應用 
Course description  Set theory, functions, relations, combinatorics, graph theory, algebraic systems, propositional and predicate logic. 集（合）論、函數、關係（式）、組合學、圖論、代數系（統）、命題及謂詞邏輯。 
Unit(s)  3 
Course level  Undergraduate 
Exclusion  CSCI2110 or ENGG2460 or ESTR2004 or ESTR2010 or ESTR2362 or MIEG2440 
Semester  1 
Grading basis  Graded 
Grade Descriptors  A/A: EXCELLENT – exceptionally good performance and far exceeding expectation in all or most of the course learning outcomes; demonstration of superior understanding of the subject matter, the ability to analyze problems and apply extensive knowledge, and skillful use of concepts and materials to derive proper solutions. B+/B/B: GOOD – good performance in all course learning outcomes and exceeding expectation in some of them; demonstration of good understanding of the subject matter and the ability to use proper concepts and materials to solve most of the problems encountered. C+/C/C: FAIR – adequate performance and meeting expectation in all course learning outcomes; demonstration of adequate understanding of the subject matter and the ability to solve simple problems. D+/D: MARGINAL – performance barely meets the expectation in the essential course learning outcomes; demonstration of partial understanding of the subject matter and the ability to solve simple problems. F: FAILURE – performance does not meet the expectation in the essential course learning outcomes; demonstration of serious deficiencies and the need to retake the course. 
Learning outcomes  1. be familiar with basic mathematical concepts, e.g. sets, functions, graphs 2. be familiar with formal mathematical reasoning, e.g. logic, proofs 3. be able to see the connections between discrete mathematics and computer science 
Assessment (for reference only) 
Short answer test or exam：60% Others：40% 
Recommended Reading List  1. Discrete Mathematics with Applications, by Susanna S. Epp. 2. Course notes of “mathematics for computer science” in MIT. 
CSCIN programme learning outcomes  Course mapping 
Upon completion of their studies, students will be able to:  
1. identify, formulate, and solve computer science problems (K/S);  
2. design, implement, test, and evaluate a computer system, component, or algorithm to meet desired needs (K/S); 

3. receive the broad education necessary to understand the impact of computer science solutions in a global and societal context (K/V);  
4. communicate effectively (S/V); 

5. succeed in research or industry related to computer science (K/S/V);  
6. have solid knowledge in computer science and engineering, including programming and languages, algorithms, theory, databases, etc. (K/S);  
7. integrate well into and contribute to the local society and the global community related to computer science (K/S/V);  
8. practise high standard of professional ethics (V);  
9. draw on and integrate knowledge from many related areas (K/S/V); 

Remarks: K = Knowledge outcomes; S = Skills outcomes; V = Values and attitude outcomes; T = Teach; P = Practice; M = Measured 