Computer Programming and Analysis

Program Overview

Durham College's Computer Programming and Analysis program equips students with a comprehensive foundation in IT principles, software development, and data management. Through a blend of theoretical knowledge and practical experience, graduates are prepared for careers in software engineering, web development, data analytics, and other high-demand fields in the tech industry.

Program Outline

Degree Overview:

Program Overview:

Durham College's Computer Programming and Analysis program prepares students for careers in the field of information technology. The program provides a comprehensive study of information technology, systems development methodologies, and application programming built on a solid foundation of business expertise. Graduates of the program will be able to design, develop, and maintain software systems, as well as manage and analyze data.

Objectives:

• To provide students with a strong foundation in the principles of computer programming and analysis.
• To develop students' skills in the design, development, and implementation of software systems.
• To prepare students for careers in the field of information technology.

Program Description:

The Computer Programming and Analysis program is a three-year, six-semester program. The program is divided into two parts: the first two years focus on the fundamentals of computer programming and analysis, while the third year focuses on the application of these fundamentals to real-world problems.

Outline:

Content:

• Computer programming
• Data structures and algorithms
• Software engineering
• Database management
• Systems analysis and design
• Project management

Structure:

• The program is divided into six semesters.
• Each semester consists of a combination of lectures, labs, and tutorials.
• Students will complete a number of projects throughout the program.

Course Schedule:

• Semester 1: Introduction to Programming, Data Structures and Algorithms, Computer Architecture, Operating Systems, Database Management Systems
• Semester 2: Object-Oriented Programming, Software Engineering, Data Communications and Networking, Web Development, Mobile Development
• Semester 3: Systems Analysis and Design, Project Management, Cloud Computing, Big Data Analytics, Artificial Intelligence
• Semester 4: Capstone Project, Internship

Individual Modules with Module Descriptions:

• Introduction to Programming: This module introduces the fundamental concepts of programming, including data types, variables, operators, and control structures.
• Data Structures and Algorithms: This module covers the basic data structures and algorithms used in computer programming.
• Computer Architecture: This module provides an overview of the hardware and software components of a computer system.
• Operating Systems: This module covers the principles of operating systems, including process management, memory management, and file systems.
• Database Management Systems: This module introduces the concepts of database management systems, including data modeling, query languages, and transaction processing.
• Object-Oriented Programming: This module covers the principles of object-oriented programming, including classes, objects, inheritance, and polymorphism.
• Software Engineering: This module covers the principles of software engineering, including requirements gathering, design, implementation, testing, and maintenance.
• Data Communications and Networking: This module covers the principles of data communications and networking, including network topologies, protocols, and security.
• Web Development: This module covers the principles of web development, including HTML, CSS, JavaScript, and web servers.
• Mobile Development: This module covers the principles of mobile development, including Android and iOS development.
• Systems Analysis and Design: This module covers the principles of systems analysis and design, including requirements gathering, process modeling, and data modeling.
• Project Management: This module covers the principles of project management, including project planning, scheduling, and budgeting.
• Cloud Computing: This module covers the principles of cloud computing, including cloud services, cloud architectures, and cloud security.
• Big Data Analytics: This module covers the principles of big data analytics, including data mining, machine learning, and data visualization.
• Artificial Intelligence: This module covers the principles of artificial intelligence, including machine learning, natural language processing, and computer vision.
• Capstone Project: This module is a major project that students complete in their final semester.
The project allows students to apply the skills and knowledge they have learned throughout the program to a real-world problem.
• Internship: This module is an optional internship that students can complete in their final semester.
The internship allows students to gain practical experience in the field of information technology.

Assessment:

Students in the Computer Programming and Analysis program are assessed through a variety of methods, including:

• Assignments
• Quizzes
• Exams
• Projects
• Presentations

Teaching:

The Computer Programming and Analysis program is taught by a team of experienced faculty members who are experts in the field of information technology. The faculty members use a variety of teaching methods, including:

• Lectures
• Labs
• Tutorials
• Projects
• Presentations

Careers:

Graduates of the Computer Programming and Analysis program are qualified for a variety of careers in the field of information technology, including:

• Computer programmer
• Software engineer
• Web developer
• Database administrator
• Systems analyst
• Project manager
• Data scientist
• Artificial intelligence engineer