## Annoucements

**February 5th 2017**

As discussed in both lectures last week, the schedule of in-class tests for this module this semester are as follows:

- In-Class Test 1: Tuesday
**February 20th** - In-Class Test 2: Tuesday
**March 20th**

**January 22nd 2017**

Lab sessions begin on **Monday, January 29th**.
Each student must participate in one two-hour lab session per week.
The assignment of
students to lab groups is as it was last semester.

## About this Module

**Credit Weighting:** 5

**Pre-requisite(s):** None

**Co-requisite(s):** None

**Teaching Method(s):** 24 x 1hr(s) Lectures; 11 x 2hr(s) Tutorials.

**Module Objective:** Students should develop skills in the foundational techniques needed to analyse, design, implement and communicate computational problems and solutions.

**Module Content:** Predicate logic; representing and solving computational problems with trees and graphs; analysis of simple data structures, algorithms and problem spaces.

**Learning Outcomes:** On successful completion of this module, students should be able to:
Formulate computational problems using predicate logic specifications;
Represent and solve computational problems with trees and graphs;
Analyse simple data structures and algorithms.

**Assessment:** Total Marks 100: Formal Written Examination 80 marks; Continuous Assessment 20 marks (In-Class Tests 20 marks).

**Compulsory Elements:** Formal Written Examination; Continuous Assessment.

**Penalties (for late submission of Course/Project Work etc.):** Work which is submitted late shall be assigned a mark of zero (or a Fail Judgement in the case of Pass/Fail modules).

**Pass Standard and any Special Requirements for Passing Module:** 40\%.

**Formal Written Examination:** 1 x 1.5 hr(s) paper(s) to be taken in Summer 2016.

**Requirements for Supplemental Examination:** 1 x 1.5 hr(s) paper(s) (which incorporates assessment of both End of Semester Written Examination and Continuous Assessment) to be taken in Autumn 2016.