TU-BCA 3RD SEMESTER: Data Structures and Algorithms

Course Title: Data Structures and Algorithms (3 Cr.) Course Code: CACS201Year/Semester: SemesterClass Load: 6 Hrs. / Week (Theory: 3 Hrs., Practical: 3 Hrs.) Course Description This course includes fundamental concepts of data structures such as stack, queue, list, linked list, trees and graph; application of these data structures along with several algorithms. Course Objectives The general objective…

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TU-BCA 3rd Semester: Web Technology

Course Title: Web Technology (3 Cr.)Course Code: CACS205Year/Semester: II/IIIClass Load: 6 Hrs. / Week (Theory: 3 Hrs. Practical: 3 Hrs.) Course Description This course covers different aspects of web technology such as HTML, CSS, issues of web technology, client tier, server tier and advanced server side issues. Course Objectives The general objectives of this course are to…

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TU-BCA 3rd Semester: Object Oriented Programming in Java

Course Title: Object Oriented Programming in Java (3 Cr.)Course Code: CACS2O4Year/Semester: II/IIIClass Load: 6 Hrs. / Week (Theory: 3 Hrs, Tutorial: 1, Practical: 2 Hrs.) Course Description This course covers preliminary concepts of object-oriented approach in programming with basic skills using Java. Control structures, Classes, methods and argument passing and iteration; graphical user interface basics Programming…

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TU-BCA 3rd Semester: Probability & Statistics

Course Title: Probability & Statistics (3 Cr.)Course Code: CACS2O2Year/Semester: II/IIIClass Load: 5 Hrs./ Week (Theory: 3 Hrs, Tutorial: 1 Hr., Practical: 1 Hr.) Course DescriptionThis course covers basic concepts of statistics, measurement of central tendency. correlation & regression analysis. probability, sample survey, sample survey methods and design of experiment. These topics are essential tools for…

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TU-BCA 7TH SEMESTER-ELECTIVE: Artificial Intelligence

Course Name: Artificial IntelligenceCourse Code: CACS410Year/Semester: IV/VIIClass Load: 5 Hrs. / Week (Theory: 3Hrs. Practical: 2 Hrs.) Course Description: The course introduces basics of artificial intelligence. It covers fundamental concepts such as artificial intelligence, problem solving, knowledge representation, neural networks, machine learning, natural language processing, machine vision and expert systems. Objective:The objective of this course…

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