MATH06092 2018 Mathematics 4
Full Title
Mathematics 4
Transcript Title
Mathematics 4
Code
MATH06092
Attendance
N/A %
Subject Area
MATH - Mathematics
Department
COEL - Computing & Electronic Eng
Level
06 - NFQ Level 6
Credit
05 - 05 Credits
Duration
Semester
Fee
€
Start Term
2018 - Full Academic Year 2018-19
End Term
9999 - The End of Time
Author(s)
John Weir, Donny Hurley, Fran O'Regan
Programme Membership
SG_KSMAR_C06 201800 Higher Certificate in Science in Computing in Smart Technologies
SG_KSMAR_B07 201800 Bachelor of Science in Computing in Smart Technologies
SG_KGAME_C06 201800 Higher Certificate in Science in Games Development
SG_KGADV_B07 201800 Bachelor of Science in Computing in Games Development
SG_KNETW_C06 201800 Higher Certificate in Science in Computing in Computer Networks
SG_KSODV_C06 201800 Higher Certificate in Science in Software Development
SG_KSMAR_H08 201900 Bachelor of Science (Honours) in Computing in Smart Technologies
SG_KSODV_H08 201900 Bachelor of Science (Honours) in Computing in Software Development
SG_KCMPU_H08 201900 Bachelor of Science (Honours) in Computing
SG_KSMAR_C06 201900 Higher Certificate in Science in Computing in Smart Technologies
SG_KCMPU_C06 201900 Higher Certificate in Science in Computing in Computing
SG_KCMPU_B07 201900 Bachelor of Science in Computing in Computing
SG_KNCLD_B07 201900 Bachelor of Science in Computing in Computer Networks and Cloud Infrastructure
SG_KNCLD_H08 201900 Bachelor of Science (Honours) in Computing in Computer Networks and Cloud Infrastructure
SG_KSODV_B07 201900 Bachelor of Science in Computing in Software Development
Description
This subject develops further Mathematical skills and applies some of the Mathematical skill set already developed. The module begins with a look at various integration techniques. This is followed by an application of matrices in Gaussian and Gauss Jordan elimination. There is a significant section on number theory and it's application in areas such as encryption. The concept of a group and the identification of group examples used in the current and earlier modules is then looked at. Finally the module covers coding theory, again using skills already developed previously in areas such as probability and matrices.
Learning Outcomes
On completion of this module the learner will/should be able to;
1.
Demonstrate competence in integral calculus.
2.
Solve problems using Gaussian and Gauss Jordon techniques.
3.
Apply number theory.
4.
Explain the concept of a group and identify examples.
5.
Demonstrate competence in error deection and error correction codes
Teaching and Learning Strategies
The student will engage with the content of the module through lectures and tutorials.
The student will work on practical examples and exercise sheets to develop and apply their learning.
Module Assessment Strategies
Written examination at end of semester and also a written examination around mid-semester.
Repeat Assessments
The repeat assessment will involve a repeat examination.
Indicative Syllabus
1. Integration: Integration of polynomial, trignometric and exponential functions. Integration techniques. Approximation using Simpson's rule.
2. Gaussian elimination and Gauss Jordan elimination.
3. Number Theory: Prime Numbers, Euclidean algorithm, congruences, pseudo random number generation, encryption and decryption.
4. Group theory: Group properties, examples of groups.
5. Coding Theory: Coding schemes, block codes, Hamming distance, linear codes, parity check matrix.
Coursework & Assessment Breakdown
Coursework & Continuous Assessment
30 %
End of Semester / Year Formal Exam
70 %
Coursework Assessment
| Title | Type | Form | Percent | Week | Learning Outcomes Assessed | |
|---|---|---|---|---|---|---|
| 1 | Continuous assessment breakdown | Continuous Assessment | Closed Book Exam | 30 % | Week 6 | 1,2 |
End of Semester / Year Assessment
| Title | Type | Form | Percent | Week | Learning Outcomes Assessed | |
|---|---|---|---|---|---|---|
| 1 | End of term exam | Final Exam | Closed Book Exam | 70 % | End of Term | 1,2,3,4,5 |
Full Time Mode Workload
| Type | Location | Description | Hours | Frequency | Avg Workload |
|---|---|---|---|---|---|
| Lecture | Lecture Theatre | Lecture | 3 | Weekly | 3.00 |
| Tutorial | Flat Classroom | Tutorial | 1 | Weekly | 1.00 |
| Independent Learning | Not Specified | Independent Learning | 3 | Weekly | 3.00 |
Total Full Time Average Weekly Learner Contact Time 4.00 Hours
Required & Recommended Book List
Recommended Reading
2017 Maths for Computing and Information Technology Prentice Hall
2017 Maths for Computing and Information Technology Prentice Hall
Recommended Reading
2017 Discrete Maths for Computing Palgrave MacMillan
2017 Discrete Maths for Computing Palgrave MacMillan