Better Informatics - Coursework Calculator

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) acp: Applied Cloud Programming adbs: Advanced Database Systems ads: Algorithms and Data Structures agta: Algorithmic Game Theory and its Applications aml: Applied Machine Learning aml-dl: Applied Machine Learning (Distance Learning) anlp: Accelerated Natural Language Processing aro: Advanced Robotics asr: Automatic Speech Recognition atml: Advanced Topics in Machine Learning atnlp: Advanced Topics in Natural Language Processing bdl: Blockchains and Distributed Ledgers card: Computer Architecture and Design ccn: Computational Cognitive Neuroscience ccs: Computational Cognitive Science cdi1: Case Studies in Design Informatics 1 cggs: Computer Graphics: Geometry and Simulation cgr: Computer Graphics: Rendering cic: Computing in the Classroom cns: Computational Neuroscience comn: Computer Communications and Networks csai: Case Studies in AI Ethics (CSAI) csec-10: Computer Security csec-11: Computer Security (Level 11) css: Understanding Society with Big Data: Computational Social Science ct: Compiling Techniques cv: Computer Vision diss: MSc Dissertation (Informatics) diss-dsti-dl: Data Science, Technology and Innovation Dissertation (Distance Learning) dmp: Discrete Mathematics and Probability ds: Distributed Systems (Level 11) eip: Entrepreneurship and Innovation Project epl: Elements of Programming Languages finet: Financial Networks fml: Machine Learning in Financial Services fnlp: Foundations of Natural Language Processing hci: Human-Computer Interaction (Level 11) i-bair: Inter-Disciplinary Biomedical Artificial Intelligence Research idb: Introduction to Databases iel-08: Informatics Experiential Learning (Level 8) iel-10: Informatics Experiential Learning (Level 10) 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-fds: Informatics 2 - Foundations of Data Science inf2-iads: Informatics 2 - Introduction to Algorithms and Data Structures inf2-sepp: Informatics 2 - Software Engineering and Professional Practice inf2c-cs: Informatics 2C - Introduction to Computer Systems inf2d: Informatics 2D - Reasoning and Agents ipp: Informatics Project Proposal ipp-dl: Informatics Project Proposal (Distance Learning) ipp20: Informatics Project Proposal 20 iqc: Introduction to Quantum Computing iqps: Introduction to Quantum Programming and Semantics itcs: Introduction to Theoretical Computer Science mci: Methods for Causal Inference mdi: Masters Dissertation (Design Informatics) mip1: MInf Project (Part 1) mip2: MInf Project (Part 2) mlg: Machine Learning mlp: Machine Learning Practical mls: Machine Learning Systems mlsp100: Machine Learning Systems Project (100 credits) mlsp60: Machine Learning Systems Project (60 credits) mlsp80: Machine Learning Systems Project (80 credits) mob: Introduction to Mobile Robotics nlp-aip: Applied Interdisciplinary Project nlp-iep: Individual Exploratory Project nlp-rr: Researching Responsible and Trustworthy Natural Language Processing os: Operating Systems pbi: Programming for Biomedical Informatics pdiot: Principles and Design of IoT Systems pdp: Placement Dissertation Project pdss: Programming for Data Science at Scale pi: Professional Issues (Level 10) pmr: Probabilistic Modelling and Reasoning ppls: Parallel Programming Languages and Systems (Level 11) proj: Honours Project (Informatics) psml: Privacy and Security with Machine Learning qcs: Quantum Cyber Security qigp: Quantum Informatics Group Project qipo: Quantum Informatics Practical Orientation rrl: Robot and Reinforcement Learning scm: Seminar in Cognitive Modelling sdp: System Design Project seng: Security Engineering sp: Secure Programming st: Software Testing tbi: Topics in Biomedical Informatics thf: The Human Factor: Working with Users ttds: Text Technologies for Data Science usec: Usable Security and Privacy drps

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• Exam: %

• Exam: %
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