PG Diploma In Computer Application (PGDCA)
Overview
The Program includes: – Computer Languages such as C, C++, JAVA, Packages such as MS Office-Web Design, Oracle-VB, TALLY, MS Dos-Windows as Operating System – System Analysis & Data Processing.
A Post Graduate Diploma in Computer Application (PGDCA) is a specialized program designed to provide advanced knowledge and skills in various aspects of computer applications and information technology.
A PG Diploma in Computer Application (PGDCA) is an excellent choice for individuals seeking to enhance their knowledge and skills in computer applications and information technology. With a strong foundation in programming, software development, database management, and other key areas, PGDCA graduates are well-prepared to pursue rewarding careers in the rapidly evolving field of IT.
Scope of PGDCA
According to US Bureau of Labor Statistics, The employment outlook for computer and information technology occupations is exceptionally promising, with a projected growth rate significantly higher than the average across all occupations from 2022 to 2032. On average, approximately 377,500 job openings are anticipated each year within these fields. This surge is attributed to both the expansion of employment opportunities and the imperative to fill positions vacated by workers departing these occupations permanently. The robust projection underscores the ongoing demand for skilled professionals in the computer and information technology sectors over the next decade.
Course Structure PGDCA
Our B.Tech program in Artificial Intelligence and Machine Learning (AI & ML) combines theoretical and practical knowledge, offering a curriculum that covers programming, data structures, machine learning, deep learning, natural language processing, and big data analytics. The program provides a strong foundation in mathematics and statistics, along with specialized AI & ML topics.
The following table outlines the comprehensive course structure of the B.Tech AI & ML program. It is organized into core, elective, interdisciplinary, and skill enhancement components. Each category specifies the type of courses, their descriptions, and the corresponding credits, ensuring a well-rounded academic experience with a balance of foundational knowledge, research exposure, and professional ethics:
| Category | Short Name | Description | Credits |
|---|---|---|---|
| Departmental Core | DC | Discipline Specific Core Courses (DSC) | 32 |
| Departmental Core | DC | Project / Dissertation / Field Study / Survey | 2 |
| Departmental Core | DC | Seminar | 0 |
| Departmental Core | DC | Internship / on Job Experience | 0 |
| Departmental Core | DC | Research Credit Course | 0 |
| Departmental Elective | DE | Discipline Specific Elective Courses(DSE) | 13 |
| Program Linked Core | PLC | Interdeciplinary | 2 |
| Generic Elective | GE | Open courses/Generic Elective (GE) | 0 |
| University Core | UC | Ability Enhancement Courses (AEC) | 0 |
| University Core | UC | Skill Enhancement Courses (SEC) | 0 |
| Value Added Courses common for all UG (VAC) – Non Graded | |||
| University Core | UC | NSS/NCC | 2 |
| University Core | UC | Envionmental Science | 2 |
| University Core | UC | Human Values and Professional Ethics | 2 |
| S.No. | Course Code | Course | L | T | P | Total Credit | Category | Semester |
|---|---|---|---|---|---|---|---|---|
| 1 | CAL811 | Software Engineering | 3 | 0 | 0 | 3 | DC | 1st Sem |
| 2 | CAL817 | Operating System | 3 | 0 | 0 | 3 | DC | 1st Sem |
| 3 | CAL813 | Advance Database Management System | 3 | 0 | 2 | 4 | DC | 1st Sem |
| 4 | CAL812 | Internet and Java Programming | 3 | 0 | 0 | 3 | DC | 1st Sem |
| 5 | CAL815 | Web Technology | 3 | 0 | 2 | 4 | DC | 1st Sem |
| 6 | CAP801 | Java Lab | 0 | 0 | 2 | 1 | DC | 1st Sem |
| 7 | Departmental Elective-1 | 3 | 0 | 0 | 3 | DE | 1st Sem | |
| 8 | EGL805 | Business Writing and Professional Communication | 2 | 0 | 0 | 2 | PLC | 1st Sem |
| S.No. | Course Code | Course | L | T | P | Total Credit | Category | Semester |
|---|---|---|---|---|---|---|---|---|
| 1 | CAL851 | Programming with Python | 3 | 0 | 2 | 4 | DC | 2nd Sem |
| 2 | CAL857 | Data Communication & Computer Networks | 3 | 0 | 0 | 3 | DC | 2nd Sem |
| 3 | CAL855 | Unix and Shell Programming | 3 | 0 | 2 | 4 | DC | 2nd Sem |
| 4 | Departmental Elective-2 | 3 | 0 | 0 | 3 | DE | 2nd Sem | |
| 5 | Departmental Elective-3 | 3 | 0 | 0 | 3 | DE | 2nd Sem | |
| 6 | Departmental Elective-4 | 3 | 0 | 2 | 4 | DE | 2nd Sem | |
| 7 | CAD851 | Minor project | 0 | 0 | 4 | 2 | DC | 2nd Sem |
| Course Code | Course | L | T | P | Credit |
|---|---|---|---|---|---|
| CAL818 | Cloud Computing | 3 | 0 | 0 | 3 |
| CAL858 | Information Security | 3 | 0 | 0 | 3 |
| CAL862 | Data Warehouse and Data Mining | 3 | 0 | 0 | 3 |
| CAL861 | Digital Marketing | 3 | 0 | 2 | 4 |