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41 - 50 of 175 search results for Economics Syllabus |u:www.cst.cam.ac.uk where 10 match all words and 165 match some words.
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  2. Preparation | Department of Computer Science and Technology

    https://www.cst.cam.ac.uk/teaching/masters/preparation
    28 Jun 2024: Preparatory work. Before arriving or returning to Cambridge, you should endeavour to do the preparatory reading provided by module lecturers on the syllabus web pages.
  3. 28 Jun 2024: Research. My research expertise is in ubiquitous computing, computer architecture, networking, distributed systems and operating systems, while my interdisciplinary interests include issues of ethics, identity, privacy, information policy,
  4. 28 Jun 2024: Syllabus. The fundamentals of machine learning for machine perception. Deep neural networks and frameworks for machine perception.
  5. 28 Jun 2024: Syllabus. Classification by machine learning: classification, types of classifier, generative vs.
  6. 28 Jun 2024: Syllabus and coursework. The course will consist of eight seminars covering the following topics:.
  7. Mobile, Wearable Systems and Machine Learning | Department of…

    https://www.cst.cam.ac.uk/teaching/2324/R269
    28 Jun 2024: Syllabus. The course will consist of one introductory lecture, seven two-hour, and one three-hour, sessions covering a variety of topics roughly including the following material (some variation in the
  8. 28 Jun 2024: Syllabus. Introduction to performance measurements, performance characteristics [1 lecture]. Performance measurements tools and techniques [2 lectures 2 lab sessions].
  9. 28 Jun 2024: Syllabus. Each seminar will focus on a different topic:. Trends in computer architecture.
  10. 28 Jun 2024: Syllabus. Each seminar will focus on a different topic. The proposed topics are listed below but there may be some minor changes to this:.
  11. Scientific Computing | Department of Computer Science and Technology

    https://www.cst.cam.ac.uk/teaching/2324/SciComp
    28 Jun 2024: Syllabus. Python notebooks. Overview of the Python programming language. Use of notebooks for scientific computing.

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