Module Specification

The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module.
1. Module Title Programming Fundamentals
2. Module Code COMP517
3. Year Session 2023-24
4. Originating Department Computer Science
5. Faculty Fac of Science & Engineering
6. Semester First Semester
7. CATS Level Level 7 FHEQ
8. CATS Value 15
9. Member of staff with responsibility for the module
Dr DJ Purser Computer Science D.Purser@liverpool.ac.uk
10. Module Moderator
11. Other Contributing Departments  
12. Other Staff Teaching on this Module
Mrs J Birtall School of Electrical Engineering, Electronics and Computer Science Judith.Birtall@liverpool.ac.uk
13. Board of Studies
14. Mode of Delivery
15. Location Main Liverpool City Campus
    Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
16. Study Hours 22

  22

      44
17.

Private Study

106
18.

TOTAL HOURS

150
 
    Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other
19. Timetable (if known)            
 
20. Pre-requisites before taking this module (other modules and/or general educational/academic requirements):

 
21. Modules for which this module is a pre-requisite:

 
22. Co-requisite modules:

 
23. Linked Modules:

 
24. Programme(s) (including Year of Study) to which this module is available on a mandatory basis:

25. Programme(s) (including Year of Study) to which this module is available on a required basis:

26. Programme(s) (including Year of Study) to which this module is available on an optional basis:

27. Aims
 

This module provides an intensive introduction to programming for postgraduate students who do not have a computer science background. The basics of program development, control flow, data structures and object-oriented design will be covered. The primary objective is to develop key programming and problem-solving skills using a modern programming language.

 
28. Learning Outcomes
 

(LO1) Demonstrate knowledge of fundamental imperative programming concepts such as variables and assignment, conditional statements, loops and methods.

 

(LO2) Be able to design and code applications in a suitable programming language.

 

(LO3) Critical knowledge of concepts and principles of object-orientation such as objects and classes, encapsulation, object state, coupling, cohesion and modularity.

 

(LO4) Critical awareness of important principles of software design and development, including appropriate naming of variables and classes, code layout, testing and debugging, and documentation.

 

(S1) Problem Solving - Numeracy and computational skills

 

(S2) Problem solving – analysing facts and situations and applying creative thinking to develop appropriate solutions.

 
29. Teaching and Learning Strategies
 

Teaching Method 1 - Lecture
Description:
Attendance Recorded: Not yet decided

Teaching Method 2 - Tutorial
Description:
Attendance Recorded: Not yet decided

Standard on-campus delivery
Teaching Method 1 - Lecture
Description: Mix of on-campus/on-line synchronous/asynchronous sessions
Teaching Method 2 - Tutorial
Description: On-campus synchronous sessions

 
30. Syllabus
   

Week 1: Core imperative programming ideas: sequence, assignment and variables
Week 2: Selection, functions and parameters
Week 3: Data types and operators
Week 4: Iteration
Week 5: Strings and arrays
Week 6: Multi-dimensional arrays, lists, sets and dictionaries
Week 7: Object-oriented programming: encapsulation, inheritance, polymorphism
Week 8: Input/Output and exception handling
Week 9: Functions, recursion and functional programming
Week 10: Dynamic data structures: linked lists, queues and stacks
Week 11: Miscellaneous topics and wrap-up

 
31. Recommended Texts
  Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.
 

Assessment

32. EXAM Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
   
33. CONTINUOUS Duration Timing
(Semester)
% of
final
mark
Resit/resubmission
opportunity
Penalty for late
submission
Notes
  (517) Assessment 3 There is a resit opportunity. Standard UoL penalty applies for late submission. This is not an anonymous assessment. Assessment Schedule (When) :Semester 1 0 40
  (517.1) Assessment 2 There is a resit opportunity. Standard UoL penalty applies for late submission. This is not an anonymous assessment. Assessment Schedule (When) :Semester 1 0 30
  517.2 Assessment 1 There is a resit opportunity. Standard UoL penalty applies for late submission. This is not an anonymous assessment. Assessment Schedule (When) :Semester 1 0 30