MIS41110 Programming for Analytics

Academic Year 2023/2024

Core (except where students have sufficient programming background).
Teaching the basics of programming in sufficient detail to survive in analytics. Using an interactive and general-purpose scripting language with strong libraries for analytics.

Topics:
● Data types, compound data structures, control flow
● Decomposing problems by functions
● Data munging
● Files, databases, SQL (basics)
● Libraries for data handling, web, and others
● Structured and unstructured data, text data
● Code style and readability
● Time complexity

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Curricular information is subject to change

What will I learn?

Learning Outcomes:

After this module students will be able to:
● Write simple programs with good style taking advantage of functions for problem decomposition
● Write programs to convert, clean, manage and interpret data, including structured and unstructured data
● Read and write files and databases
● Choose appropriate libraries for some specific tasks
● Understand the implications of loops for time complexity

Indicative Module Content:

● Data types, compound data structures, control flow
● Decomposing problems by functions
● Data munging
● Files, databases, SQL (basics)
● Libraries for data handling, web, and others
● Structured and unstructured data, text data
● Code style and readability
● Time complexity

How will I learn?

Student Effort Type	Hours
Specified Learning Activities	30
Autonomous Student Learning	48
Lectures	36
Small Group	24
Tutorial	12
Total	150

Am I eligible to take this module?

Requirements, Exclusions and Recommendations

Not applicable to this module.

Module Requisites and Incompatibles

Not applicable to this module.

How will I be assessed?

Assessment Strategy

Description	Timing	Open Book Exam	Component Scale	Must Pass Component	% of Final Grade
Continuous Assessment: Group project	Throughout the Trimester	n/a	Graded	No	40
Examination: End of semester examination	2 hour End of Trimester Exam	No	Graded	No	60

Carry forward of passed components
No

What happens if I fail?

Resit In	Terminal Exam
Spring	Yes - 2 Hour

Assessment feedback

Feedback Strategy/Strategies

• Group/class feedback, post-assessment
• Self-assessment activities

How will my Feedback be Delivered?

Take home programming exercises with supplied sample solutions for self-assessment. Group project face-to-face evaluation and feedback in week 12.

Associated Staff

Name	Role
Bing Chen	Tutor

When is this module offered?


Autumn
Lecture	Offering 1	Week(s) - Autumn: All Weeks	Fri 09:00 - 11:50
Lecture	Offering 2	Week(s) - Autumn: All Weeks	Fri 13:00 - 15:50
Tutorial	Offering 1	Week(s) - Autumn: Weeks 2-12	Mon 12:30 - 14:20
Tutorial	Offering 2	Week(s) - Autumn: Weeks 2-12	Mon 15:00 - 17:00
Tutorial	Offering 3	Week(s) - Autumn: Weeks 2-12	Mon 10:00 - 11:50
Autumn