Module Catalogue 2021/22

CSC1031 : Fundamentals of Computing

  • Offered for Year: 2021/22
  • Module Leader(s): Dr Jason Steggles
  • Lecturer: Dr Sadegh Soudjani, Dr Sara Fernstad
  • Owning School: Computing
  • Teaching Location: Newcastle City Campus
Semesters
Semester 1 Credit Value: 10
Semester 2 Credit Value: 10
ECTS Credits: 10.0
Pre Requisites
Pre Requisite Comment

GCSE Maths Grade B

Co Requisites
Code Title
CSC1034Programming Portfolio 1
CSC1035Programming Portfolio 2
Co Requisite Comment

N/A

Aims

To develop confidence in the use of fundamental techniques in Computer Science.
To provide a knowledge of the formal concepts essential for study and professional practice in Computing Science and Software Engineering.
To practice the basic techniques for modelling and solving computing problems.
To prepare students for the more advanced topics they will encounter on their degree.
To develop an awareness of the role of formal techniques in Computing Science.

Outline Of Syllabus

Set Theory
Numbers and their Representation
Real Valued Functions
Vector and Matrices
Combinatorics
Relations and Functions
Proof Techniques
Graph Theory
Propositional Logic
Predicate Logic

Learning Outcomes

Intended Knowledge Outcomes

By the end of this module students will have gained comprehension and experienced application of key scientific, logical and formal concepts in the field of computer science, including:

•       Application of set theory to data structures in programming languages.
•       Representation of numbers in computer hardware and programming languages, and ability to convert between representations.
•       Analysis of complexity of algorithms, through application of functions, in particular polynomials, logarithms, and exponents.
•       Application of derivative and stationary points of a function, in optimal decision making and to simulating motion in computer games.
•       Application of matrices and vectors to data structures in programming languages, computer graphics, and other computational problems.
•       Utilise combinatorics for efficient computing and security
•       Defining and applying functions, including concepts such as recursion and composition.
•       Use formal techniques to model and analyse computing systems.
•       Formulate and reason about logical statements.
•       Translation of natural language descriptions and reasoning processes to and from logical equivalents in the propositional and predicate logic

Intended Skill Outcomes

At the end of this module students will be able to apply their knowledge and understanding of the topics covered in this module:

•       To choose appropriate formal techniques to aid problem solving.
•       To employ formal structures to model design problems.
•       To prove formal properties of developed models.
•       To apply learnt techniques to solve a range of computational problems.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion21:303:00End of semester assessment
Guided Independent StudyAssessment preparation and completion501:0050:00Revision for end of semester assessment
Guided Independent StudyAssessment preparation and completion401:0040:00Lecture follow-up
Scheduled Learning And Teaching ActivitiesLecture401:0040:00Lectures
Guided Independent StudySkills practice201:0020:00Tutorial exercises supported by sample solutions
Scheduled Learning And Teaching ActivitiesSmall group teaching201:0020:00Tutorial support session.
Guided Independent StudyIndependent study200:3010:00Online formative quizzes
Guided Independent StudyIndependent study171:0017:00background reading
Total200:00
Teaching Rationale And Relationship

Lectures will be used to introduce the key module material and for demonstrating the key concepts by example. Students are expected to follow-up lectures within a few days by re-reading and annotating lecture notes to aid deep learning.

Tutorial exercises will be provided to allow students to gain practical skills and understanding in the theory and techniques developed during lectures. A weekly tutorial support session will be provided to allow students to access individual help with the module material. Additional online quizzes will be provided to give further opportunities for students to check and develop their understanding and skills.

Further practical application related to this material will be developed in the co-requisite modules Portfolio 1 and Portfolio 2.

Note: should the situation mean that in-person teaching is restricted then the plan will be to revert to a similar style of delivery as used in 2020/21 based on short videos and online help sessions.

Reading Lists

Assessment Methods

The format of resits will be determined by the Board of Examiners

Exams
Description Length Semester When Set Percentage Comment
PC Examination901A50PC Exam
PC Examination902A50PC Exam
Formative Assessments
Description Semester When Set Comment
Written exercise1MTutorial exercises supported by worked sample answers and demonstrators
Written exercise2MTutorial exercises supported by worked sample answers and demonstrators
Computer assessment1MOnline quizzes providing automatic feedback on performance.
Computer assessment2MOnline quizzes providing automatic feedback on performance.
Assessment Rationale And Relationship

The computer assessments given at the end of each semester ensures students get the vital opportunity to go back over the material covered (this is important given the type of technical topics considered) and is very well suited to formally assessing the type of material covered. In the event that circumstances prevent the exam taking place then a 24 hour take home assessment will be used (as was done in 2020/21).

A range of formative assessments are provided weekly. They are used to support student’s self-study during the module and gauge their understanding as the course progresses.

Timetable

Past Exam Papers

General Notes

N/A

Disclaimer: The information contained within the Module Catalogue relates to the 2021/22 academic year. In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described. Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2022/23 entry will be published here in early-April 2022. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.