Coronavirus (Covid-19): Latest updates and information
Skip to main content Skip to navigation

CS352 Project Management for Computer Scientists

Throughout the 2020-21 academic year, we will be adapting the way we teach and assess modules in line with government guidance on social distancing and other protective measures in response to Coronavirus. Teaching will vary between online and on-campus delivery through the year, and you should read the additional information linked on the right hand side of this page for details of how we anticipate this will work. The contact hours shown in the module information below are superseded by the additional information. You can find out more about the University’s overall response to Coronavirus at: https://warwick.ac.uk/coronavirus.

CS352-15 Project Management for Computer Scientists

Academic year
20/21
Department
Computer Science
Level
Undergraduate Level 3
Module leader
Ian Saunders
Credit value
15
Module duration
10 weeks
Assessment
Multiple
Study location
University of Warwick main campus, Coventry
Introductory description

Almost everything we do as computer scientists is packaged into a "project", often full of risk and uncertainty, yet we are expected to plan and forecast to deliver fully-featured high-quality products on time and within budget. In this module you will learn practical techniques to manage projects, you will hear from industry experts, and you will work as a team to develop a project of your own.

Module aims

The aims of the module are to make students into effective project managers. The module will:

  • Equip students with the knowledge and practical skills required to manage projects;
  • Examine a range of well established project management techniques, from 'traditional' to modern;
  • Provide a link to computer science “in the real world”, sharing in the practical experiences of industry experts
Outline syllabus

This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.

Students will develop robust project management techniques, including: defining measurable project objectives; identifying and engaging stakeholders; managing scope, schedule and budget; making forecasts and measuring success; risk categorisation and mitigation.

This module will cover a range of well established project management methodologies, frameworks and philosophies, including: PRINCE2, PMI (PMBOK), Waterfall, Scrum and Agile, Kanban and Lean.

Learning outcomes

By the end of the module, students should be able to:

  • Appreciate the benefits of effective project management and the value of planning
  • Understand the importance of setting clear objectives and focusing on achieving benefits to stakeholders
  • Understand the impact of risks, and be able to develop contingency plans to mitigate them effectively.
  • Understand the importance of defining and measuring performance and success criteria
  • Understand the challenge of balancing competing priorities, beyond the ‘triple constraint’ of scope, time and cost.
  • Be able to apply a range of both traditional and modern project management methodologies and frameworks
  • Understand the philosophies and principles underlying different project management approaches, and critically evaluate the approaches with respect to planning, people management, risk management and project delivery
  • Be able to apply a broad range of scope planning, time planning, budget planning and risk planning techniques, such as Critical Path Method, Probabilistic Evaluation and Review Technique, Earned Value Analysis, Failure Modes Effects Analysis, Expected Monetary Value Analysis, Sensitivity Analysis, Work Breakdown Structure ( … and many more)
  • Be able to manage stakeholders, having recognised the power and influence of each stakeholder
  • Work effectively with others, and realise the value of diversity within a team
  • Appreciate that there is not necessarily one “correct” approach, but to be pragmatic, make critical decisions and apply common sense
  • Recognise the wider applicability of project management skills and techniques beyond the course
  • Work in a team to develop a ‘case study’ project, to develop a convincing ‘project plan’
  • Design and develop novel solutions, demonstrate inventiveness and effective decision making in a team environment
  • Develop transferable team-work skills such as leadership, negotiation and conflict resolution.
Indicative reading list
  • Project Management: A Systems Approach to Planning, Scheduling and Controlling, Harold Kerzner, Wiley, 2017
  • A guide to the project management body of knowledge (PMBOK® guide), Project Management Institute, 2017
  • PRINCE 2 for beginners: from introduction to passing your foundation exam, Colin Bentley, Routeledge, 2015
  • Agile Project Management: A Nuts and Bolts Guide to Success, Anthony Mersino, Vitality Chicago, 2015

View reading list on Talis Aspire

Subject specific skills
  • Technical skills – the module teaches broad range of techniques, methods and methodologies across various project knowledge areas
  • Planning – technical skills for planning (such as scheduling, budgeting or risk planning)
  • Compromise - balancing competing constraints
  • Negotiation - managing stakeholder interests
  • Organisation – self organisation and team organisation, time management
  • Risk management – handling uncertainty, handling change
  • Strategic – project approach, approach to solving problems as a team
  • Interpersonal skills – managing teams, managing stakeholders
Transferable skills
  • Critical Thinking – appraise and critique a range of popular methodologies and practices covering a variety of disciplines, making project specific decisions where appropriate.
  • Teamwork – working together towards a common goal, handling team personalities, effective communication
  • Leadership – leading others, respecting team diversity, handling conflict, effective delegation

Study time

Type Required
Lectures 20 sessions of 1 hour (13%)
Seminars 10 sessions of 1 hour (7%)
Private study 120 hours (80%)
Total 150 hours
Private study description

Background reading, Homework activities, Independently-organised group work, Revision

Costs

No further costs have been identified for this module.

You do not need to pass all assessment components to pass the module.

Students can register for this module without taking any assessment.

Assessment group D1
Weighting Study time
Individual Report 20%

The essay will be graded by multiple peers (peer-assessed), and moderated to ensure fairness.

Group Presentation 10%

Individual marks are the determined by combining the team's "presentation score" with their "individual score".

CS352 Exam 70%

CS352 Examination

~Platforms - AEP

Assessment group R
Weighting Study time
CS352 resit examination 100%

CS352 resit examination

~Platforms - AEP

Feedback on assessment

Individual written essays will receive detailed feedback for each chapter, with justification of overall grade awarded, both from peers and from teacher.

Mark breakdown provided from teachers and peers for group presentation (no written commentary will be provided due to timing constraints of presentation marking).

Peer appraisal will allow team members to receive anonymous written feedback from team members about their performance.

Past exam papers for CS352

Courses

This module is Core for:

  • Year 4 of UCSA-G504 MEng Computer Science (with intercalated year)
  • Year 3 of UCSA-G503 Undergraduate Computer Science MEng
  • Year 3 of UCSA-G408 Undergraduate Computer Systems Engineering
  • Year 4 of UCSA-G409 Undergraduate Computer Systems Engineering (with Intercalated Year)

This module is Optional for:

  • Year 3 of UCSA-G4G1 Undergraduate Discrete Mathematics
  • Year 3 of UCSA-G4G3 Undergraduate Discrete Mathematics
  • Year 4 of UCSA-G4G2 Undergraduate Discrete Mathematics with Intercalated Year

This module is Option list A for:

  • Year 3 of UCSA-G500 Undergraduate Computer Science
  • Year 4 of UCSA-G502 Undergraduate Computer Science (with Intercalated Year)

This module is Option list B for:

  • Year 3 of USTA-G302 Undergraduate Data Science
  • Year 3 of USTA-G304 Undergraduate Data Science (MSci)
  • Year 4 of USTA-G303 Undergraduate Data Science (with Intercalated Year)

Further Information

Term 1

15 CATS (7.5 ECTS)

Online Material

Additional Information