UNIVERSITY OF MADRAS M.Sc computer science syllabus for 2011- 2013 First semester Core 1- Design and Analysis of Algorithms Core 2- Advanced java programming Core 3- System softwareCharles Crowley
COMP3230 运营系统原则(Principles of Operation System) COMP3251/COMP3252 算法设计/算法设计与分析(Algorithm design/Algorithm design and analysis) COMP3278 数据库管理系统简介(Introduction to Database Management Systems) COMP3297 软件工程(Software Engineering) COMP3314 机器学习(Machine Learning) 4、Capstone ...
Daniel Maliniak, Susan Peterson, and Michael J. Tierney, TRIP Around the World: Teaching, Research, and Policy Views of International Relations Faculty in 20 Countries (The Institute for the Theory and Practice of International Relations, The College of William and Mary, May 2012) (skim) (espec...
The 2-year Master of Computer Applications course syllabus at IGNOU mostly covers the theoretical & practical aspects of computer science and programming. The MCA course syllabus for IGNOU is given below: MCA 1st Sem Subjects MCA 2nd Sem Subjects Design and Analysis of Algorithms Data Communication...
System Analysis and Design In-depth work of a computer system Organizational Behaviour Visual Basic Computer Laboratory BCA Elective Subjects The elective subjects in BCA focus on garnering students with extra skill sets to advance their careers and gain more knowledge in their relevant fields. Below...
Name of Subject Credit Hour Electrical Network Analysis 4 Digital Logic Design 4 Data Structures & Algorithms 4 Linear Algebra 3 Communication Skills 2 4th Semester Name of Subject Credit Hour Signals and Systems 4 Electrical Machines 4 Numerical Methods 3 Probability Methods in Engineering 3 Huminite...
Design and Analysis of Experiments Planning and conducting experiments to analyze the impact of different factors on business outcomes Mini Project Practical application of skills learned in the semester through a small-scale project Third Time Series Analysis Analysis of time-ordered data and forecasting...
Here are some of the profiles and job options the learners can opt for after the best machine-learning courses: Machine Learning Engineer You design machine learning systems. You develop AI software that predicts (for recommended searches, chatbots, and driverless cars.) You also, apply algorithm...
Data engineers work closely withdata scientistsand analysts to understand their needs and design data models that are optimized for analysis and reporting. They may also develop custom tools and applications to streamline data workflows and automate repetitive tasks. ...
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