Study of programming language hierarchy, elements of a software system and program implementation.
Exploration of seven big ideas of computing: Topics cover impact of computers on society, ethical issues, hardware, and software applications. Non-Computer Science majors only or permission of instructor Using computing to apply mathematical concepts in developing algorithmic solutions to real-world problems, stressing analysis and logical reasoning.
A modern programming language will be introduced for examples and assignments. Emphasis on problem analysis, problem-solving techniques, and software design principles and techniques. Emphasis on modularization and abstraction. Big-O analysis of algorithms. Design and use of abstract data types with various implementations.
May be taken twice for credit with permission of the Department Head. Syntax and use of a programming language. Language covered announced at preregistration.
Data representation, parts of the computer system, Assembly Language fundamentals, instruction sets, memory, and floating-point operations. This class is no longer offered. Computer Science majors now take PHI Historical and social context of computing, ethical responsibilities of the computing professional, intellectual property rights, and risks and liabilities.
Advanced sorting and searching algorithms. Methods of developing large applications programs. Comparative study of syntactic and semantic features of these languages and writing programs using them.
Projects will include departmental or university computer system work. Emphasis on query processing, design, and implementation of applications in relational SQL databases.
Introduction to other database models such as XML, object-oriented, and deductive. May be repeated for credit when topic changes. Research in a topic of special interest at the Honors level. May be repeated for credit for a total of 6 s.
A topic of special interest is studied in depth. Problem-based learning introduction to Data Science, including programming with data; data mining, munging, and wrangling; statistics, analytics, visualization; and applied machine learning, directed towards scientific, social, and environmental challenges.
CSCMAT Big data definitions and characteristics, computing environment for big data management and processing, machine learning models and algorithms, and scaling up machine learning high dimensionality reduction.
Image representation, enhancement, compression, coding, restoration, and wavelet transforms. Implementation of numerical methods using a high-level programming language.
Unknown CSC Bioinformatics 3: Problem areas include restriction mapping, map assembly, sequencing, DNA arrays, and sequence comparison.
Sizable programming project implementing a compiler for a block-structured language with strong typing. Topics include user-centered design, user interface programming, and usability evaluation.
Problem areas include periodicity, primitivity, and borderedness. Selected advanced topics from NP-completeness; approximation, randomized, parallel, number-theoretic algorithms; Fast Fourier Transform; computational geometry; string matching.syllabus in basic computer concepts and office productivity tools ct I.
Description of the Course: This course covers the areas of information technology and computer literacy including history, ethics, careers, and examples of how computers and communications technologies are being used both in education specifically and society in general.
Cloud Computing Concepts, Part 1 University of Illinois at Urbana-Champaign About this course: Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies – . introduction (computer studies) Computer Studies is offered as an optional subject at the secondary school level of education.
The syllabus was first developed in and the subject, being very dynamic, requires that the syllabus be reviewed constantly. Start studying Syllabus, Basic Computer Hardware, Basic Spreadsheet concepts and File Management. Learn vocabulary, terms, and more with flashcards, games, and other study tools.
- 2 - SYLLABUS Course on Computer Concepts (CCC) Objective: This course is designed to aim at imparting a basic level appreciation programme for the common man. After completing the course the incumbent is able to the use the computer.
Undergraduate Course Descriptions ACCT - Accounting and Financial Reporting (Course Syllabus) This course is an introduction to the basic concepts and standards underlying financial accounting systems.