DATA - Introduction to Data Analytics

Module Title:Introduction to Data Analytics
Language of Instruction:English
Credits: 5
NFQ Level:6
Module Delivered In 3 programme(s)
Teaching & Learning Strategies: As well as traditional lectures students will undertake in-class exercises on material presented in class. Small group tutorials will encourage further problem solving and discussion.
Module Aim: To provide students with mathematical techniques appropriate for computer systems management.
Learning Outcomes
On successful completion of this module the learner should be able to:
LO1 Newton's Method, Least Square Line, Curve Fitting, Least Square Method and Data Linearisation.
LO2 Numerical Techniques
Pre-requisite learning
Module Recommendations

This is prior learning (or a practical skill) that is recommended before enrolment in this module.

No recommendations listed
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed.
No requirements listed
 

Module Content & Assessment

Indicative Content
Numerical Methods Newton's method, line and curve fitting, forecasting
n/a
basic statistics
n/a
Assessment Breakdown%
Continuous Assessment50.00%
End of Module Formal Examination50.00%
Continuous Assessment
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Examination written exam 1 50.00 n/a
No Project
No Practical
End of Module Formal Examination
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Formal Exam Final written exam 2 50.00 End-of-Semester

ITCarlow reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Frequency Average Weekly Learner Workload
Lecture 12 Weeks per Stage 2.00
Tutorial 12 Weeks per Stage 1.00
Estimated Learner Hours 12 Weeks per Stage 7.42
Total Hours 125.00
 

Module Delivered In

Programme Code Programme Semester Delivery
CW_KWCCD_B Bachelor of Science (Honours) in Creative Computing and Digital Innovation 3 Mandatory
CW_KCCIT_B Bachelor of Science (Honours) in Information Technology Management 3 Mandatory
CW_KCCSY_D Bachelor of Science in Information Technology Management 3 Mandatory