Coursework Calculator

If you want to see how much you need in your exam to get 40% overall, first:

• Select your course.
• Click calculate me! next to "Exam"
• Fill in how much you got in your coursework (in x%).
• Fill in 40 in the "Overall" field
• The "Exam" field should now tell you how much you need in your exam to get 40% overall.

Calculator

Select course: (select a course) adbs: Advanced Databases ads: Algorithms and Data Structures afds: Algorithmic Foundations of Data Science agta: Algorithmic Game Theory and its Applications aipf: Artificial Intelligence, Present and Future anlp: Accelerated Natural Language Processing ar: Automated Reasoning asr: Automatic Speech Recognition atfd: Advanced Topics in Foundations of Databases av: Advanced Vision av-dl: Advanced Vision (Distance Learning) bai-gp: Group Research Project (Biomedical AI) bai-icdm: Issues in Clinical Data Modelling bai-ip: Individual Research Project (Biomedical AI) bdl: Blockchains and Distributed Ledgers bio1: Bioinformatics 1 bio2: Bioinformatics 2 card: Computer Architecture and Design cav: Computer Animation & Visualisation ccn: Computational Cognitive Neuroscience ccs: Computational Cognitive Science cdi1: Case Studies in Design Informatics 1 cdi2: Case Studies in Design Informatics 2 cg: Computer Graphics cic: Computing in the Classroom cmc: Computational Complexity comn: Computer Communications and Networks cqi: Categories and Quantum Informatics cs: Computer Security ct: Compiling Techniques datavis: Data Visualisation dbs: Database Systems diss: MSc Dissertation (Informatics) dme: Data Mining and Exploration dmmr: Discrete Mathematics and Mathematical Reasoning dmr: Decision Making in Robots and Autonomous Agents ds: Distributed Systems dsti-diss-dl: Data Science, Technology and Innovation Dissertation epcc/01: Advanced Message-passing Programming epcc/02: Advanced Parallel Techniques epcc/03: Data Analytics with High Performance Computing epcc/04: Design and Analysis of Parallel Algorithms epcc/05: Dissertation (DSTI - EPCC) (Distance Learning) epcc/06: Dissertation (HPC with Data Science) epcc/07: Dissertation (High Performance Computing) epcc/08: Fundamentals of Data Management epcc/09: HPC Architectures epcc/10: Message-passing Programming epcc/11: Numerical Algorithms for High Performance Computing epcc/12: Parallel Design Patterns epcc/13: Performance Programming epcc/14: Practical Introduction to Data Science (Distance Learning) epcc/15: Practical Introduction to High Performance Computing (Distance Learning) epcc/16: Programming Skills epcc/17: Project Preparation epcc/18: Software Development epcc/19: Threaded Programming exc: Extreme Computing fnlp: Foundations of Natural Language Processing hci: Human-Computer Interaction iaml: Introductory Applied Machine Learning iaml-dl: Introductory Applied Machine Learning (Distance Learning) iaml-pg: Introductory Applied Machine Learning ilp: Informatics Large Practical imc: Introduction to Modern Cryptography inf1-cg: Informatics 1 - Cognitive Science inf1a: Informatics 1 - Introduction to Computation inf1b: Informatics 1 - Object Oriented Programming inf2-iads: Informatics 2 - Introduction to Algorithms and Data Structures inf2b: Informatics 2B - Learning inf2c-cs: Informatics 2C - Introduction to Computer Systems inf2c-se: Informatics 2C - Introduction to Software Engineering inf2d: Informatics 2D - Reasoning and Agents infr11024/sv1/sem2: Parallel Architectures infr11129/sv1/sem2: Formal Verification iotssc: Internet of Things Systems, Security, and the Cloud (IoTSSC) ipp: Informatics Project Proposal ippo: Introduction to Practical Programming with Objects ippo-dl: Introduction to Practical Programming with Objects (Distance Learning) iqc: Introduction to Quantum Computing irr: Informatics Research Review itcs: Introduction to Theoretical Computer Science ivc: Image and Vision Computing ivr: Introduction to Vision and Robotics mdi: Masters Dissertation (Design Informatics) mi: Music Informatics mip1: MInf Project (Part 1) mip2: MInf Project (Part 2) mlp: Machine Learning Practical mlpr: Machine Learning and Pattern Recognition nat: Natural Computing nat-dl: Natural Computing nc: Neural Computation nlp-dr: Doing Research in Natural Language Processing nlp-gp: Group Project in Advanced Natural Language Processing nlp-ip: Individual Project in Advanced Natural Language Processing nlu+: Natural Language Understanding, Generation, and Machine Translation os: Operating Systems pdiot: Principles and Design of IoT Systems pi: Professional Issues pm: Performance Modelling (Level 11) pm-dl: Performance Modelling (Distance Learning) pmr: Probabilistic Modelling and Reasoning proj: Honours Project (Informatics) qcs: Quantum Cyber Security rasrt: Robotics and Autonomous Systems Research Thesis rc: Randomness and Computation rl: Reinforcement Learning rlsc: Robot Learning and Sensorimotor Control rss: Robotics: Science and Systems rtds: MSc by Research Thesis (Data Science) rtds+: MSc by Research Thesis (Data Science; 120pt) rtpp: MSc by Research Thesis (Pervasive Parallelism) sapm: Software Architecture, Process, and Management sdm: Software Design and Modelling sdp: System Design Project sp: Secure Programming spt: Research Methods in Security, Privacy, and Trust st: Software Testing stn: Social and Technological Networks thf: The Human Factor: Working with Users tspl: Types and Semantics for Programming Languages ttds: Text Technologies for Data Science usec: Usable Security and Privacy wbppcs: Work-based Professional Practice in Cyber Security drps

• Coursework: %
• Exam: %

• Exam: %
• Coursework: %
• Overall: %