FOUNDATIONS OF COMPUTING - 2019/0
Module code: COM1026
The course introduces the core concepts of discrete mathematics, including truth tables, propositional and predicate logic, set theory, number theory, relations, functions and mathematical proof. These concepts are useful throughout the programme.
DONGOL Brijesh (Computer Sci)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 4
JACs code: I100
Module cap (Maximum number of students): N/A
Prerequisites / Co-requisites
Indicative content includes:
Quantifiers & Predicate logic
Sets: definition, union, intersection, power set, set comprehension
Cartesian products, relations
Elements of number theory:
Surjective, injective and bijective functions
Periodic, logarithmic, exponential and polynomial functions
Introduction to a programming and mathematical modelling environment, in which the following can be performed:
Simple programs to solve numerical problems (e.g., find zeros of a polynomial)
Proofs by contradiction
Proof by induction
|Assessment type||Unit of assessment||Weighting|
|Practical based assessment||Lab-Test I||20|
|Practical based assessment||Lab-Test II||20|
|Examination||EXAMINATION - 2 HOURS||60|
The assessment strategy is designed to provide students with the opportunity to demonstrate that they have achieved the module learning outcomes.
Thus, the summative assessment for this module consists of:
· An individual lab test on truth tables, propositional and predicate logic. This addresses LO1 and LO2.
· An individual lab test on sets, relations, nb. theory, functions. This addresses LO1, LO3, LO4 and LO5.
· A 2h unseen examination on the whole course content. This addresses LO1, LO2, LO3, LO4, LO5 and LO6.
The individual lab-tests will be around week 5 and 10 respectively. The exam takes place at the end of the semester during the exam period.
Formative assessment and feedback
PollEverywhere is used in the lectures with each lecture consisting of a number of slides explaining the theory followed by a number of slides gauging the students’ understanding. The answers are discussed when necessary, e.g., if a high proportion (more than 25%) of the students got the answer wrong.
Individual formative feedback will also be given during the lab sessions and as part of the summative assessment.
- This module aims to introduce students to some of the key concepts of logic, set theory, mathematical functions and proof methods in order to highlight the importance and power of abstraction within computer science. Students will also be introduced to the a programming environment capable of mathematical modelling (e.g., SAGE) to perform calculations, plot graphs, and write simple programs
|001||Recognise the importance and role of logic in computing||C|
|002||Understand and manipulate propositions and predicates||KCT|
|003||Understand and manipulate set theoretic expressions including relations and functional notation||KCT|
|004||Understand mathematical functions||KPT|
|005||Recognise, understand and construct rigorous mathematical proofs||CT|
|006||Use a programming environment to perform calculations, plot graphs, and write simple programs||K|
|007||Understand elements of number theory||K|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Overall student workload
Independent Study Hours: 113
Lecture Hours: 24
Tutorial Hours: 12
Laboratory Hours: 8
Methods of Teaching / Learning
The learning and teaching strategy is designed to:
Help students recognise the importance and role of logic in computing
Provide opportunities to manipulate propositions, predicates and set theoretic expressions including relations and functional notation
Help students to assimilate the concept of formal proof
Enable students to extract information about a function by sketching its graph
Highlight the links between logic, abstraction, software specifications and programming
Practise to perform calculations, plot graphs, and write simple programs using a mathematical modelling and/or programming environment
The learning and teaching methods include:
Lectures (11 weeks at 2h) using PollEverywhere handsets to gauge the students’ understanding
Tutorials (11 weeks at 1h)
Laboratory session (4 weeks at 2h) using a mathematical modelling and/or programming environment.
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Reading list for FOUNDATIONS OF COMPUTING : http://aspire.surrey.ac.uk/modules/com1026
Programmes this module appears in
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2019/0 academic year.