.png&w=1920&q=75)
BA-PROGRAMME in Computer Application Operation Research 10 at Delhi College of Arts and Commerce
Delhi, Delhi
.png&w=1920&q=75)
About the Specialization
What is Computer Application + Operation Research [10] at Delhi College of Arts and Commerce Delhi?
This BA Programme in Computer Application + Operation Research at Delhi College of Arts and Commerce focuses on equipping students with foundational computing principles and quantitative decision-making tools. It''''s designed to meet the growing demand in India for professionals who can leverage technology for analytical problem-solving and process optimization. The interdisciplinary approach provides a unique blend of technical skills and business acumen, making it highly relevant in various Indian industries.
Who Should Apply?
This program is ideal for fresh 10+2 graduates with a strong analytical bent and an interest in technology and business strategy. It suits students aspiring to enter data analysis, basic programming, or operations management roles. It also benefits working professionals seeking to upskill in quantitative techniques or career changers transitioning into the rapidly evolving tech and analytics sectors, provided they meet the basic academic prerequisites.
Why Choose This Course?
Graduates of this program can expect to pursue diverse India-specific career paths, including junior data analyst, operations associate, business process consultant, or entry-level software developer in companies across Delhi-NCR and beyond. Entry-level salaries typically range from INR 3-5 LPA, with experienced professionals potentially earning INR 7-12 LPA or more. Growth trajectories include roles like Business Analyst, Operations Manager, or Data Scientist, with opportunities for alignment with professional certifications in analytics or project management.
Student Success Practices
Foundation Stage
Master Core Concepts and Logic- (Semester 1-2)
Dedicate time to thoroughly understand fundamental concepts in computer logic, basic programming (Python), and Operation Research modeling. Focus on building a strong conceptual base, as these subjects form the bedrock for advanced topics. Regularly solve exercises to reinforce understanding.
Tools & Resources
NPTEL online courses for foundational CS/OR, GeeksforGeeks for Python tutorials and practice, Khan Academy for mathematics and statistics related to OR, Course textbooks and class notes
Career Connection
A strong foundation is crucial for excelling in technical interviews and understanding complex industry problems in future analytical or development roles.
Develop Problem-Solving Skills through Practice- (Semester 1-2)
Actively engage in solving programming challenges and OR case studies. Participate in college-level coding clubs, hackathons, or problem-solving competitions. This hands-on approach enhances logical thinking and application of learned theories.
Tools & Resources
CodeChef and HackerRank for coding challenges, Online case study repositories for OR applications, Departmental problem-solving workshops
Career Connection
Employers highly value problem-solving abilities. This practice directly prepares students for technical rounds and analytical tasks required in jobs.
Build a Collaborative Peer Network- (Semester 1-2)
Form study groups with classmates to discuss complex topics, share insights, and collaborate on assignments. Peer learning can clarify doubts, expose different perspectives, and foster a supportive academic environment.
Tools & Resources
WhatsApp/Telegram groups for quick communication, College library group study rooms, Collaborative online document editors
Career Connection
Networking skills and teamwork are essential in professional settings. Collaborating now builds those soft skills and expands your academic support system.
Intermediate Stage
Gain Practical Application Experience- (Semester 3-4)
Work on mini-projects that integrate Database Management Systems (DBMS) with Python for data handling and apply OR techniques to optimize real-world scenarios. Seek part-time internships or volunteer for projects in local businesses to get hands-on experience.
Tools & Resources
SQL database systems (MySQL, PostgreSQL), Python libraries like Pandas, NumPy, Scikit-learn, Online datasets (Kaggle), Local startups or NGOs for internships
Career Connection
Practical experience is a key differentiator in the Indian job market, demonstrating ability to apply theoretical knowledge, leading to better internship and job offers.
Explore Industry-Relevant Tools and Technologies- (Semester 3-4)
Beyond classroom learning, familiarize yourself with industry-standard software and tools commonly used in data analytics and operations. This includes advanced spreadsheet functions, visualization tools, and specialized OR software if accessible.
Tools & Resources
Microsoft Excel (advanced functions, Solver add-in), Tableau Public or Power BI for data visualization, Open-source OR software like PuLP or SciPy for optimization, Online courses on specific tools (Coursera, Udemy)
Career Connection
Proficiency in industry tools makes you immediately productive and attractive to employers, reducing training periods and opening up specialized roles.
Participate in Academic and Industry Workshops- (Semester 3-4)
Actively attend workshops, seminars, and guest lectures organized by the college or external bodies focusing on data analytics, machine learning basics, or supply chain optimization. Join inter-college competitions related to coding or OR case studies.
Tools & Resources
College career cell notifications, Industry association events (e.g., NASSCOM student initiatives), Technical festival competitions
Career Connection
Participation showcases proactive learning and skill development, providing networking opportunities and valuable certificates for your resume, enhancing employability.
Advanced Stage
Build a Robust Project Portfolio and Resume- (Semester 5-6)
Develop a comprehensive portfolio showcasing your best projects, including those from internships or independent work. Tailor your resume to highlight relevant skills and experiences for specific job roles (e.g., data analyst, operations consultant).
Tools & Resources
GitHub for hosting code projects, LinkedIn for professional networking and profile building, Resume builders and career counselors
Career Connection
A strong portfolio and a targeted resume are critical for standing out to recruiters and securing interviews for placement opportunities in India''''s competitive job market.
Engage in Advanced Specialization and Capstone Project- (Semester 5-6)
If DSEs (Discipline Specific Electives) are offered, choose those that align with your career aspirations, such as advanced algorithms, supply chain analytics, or predictive modeling. Undertake a significant capstone project that applies integrated knowledge from both Computer Applications and Operation Research.
Tools & Resources
Research papers and advanced textbooks, Faculty guidance for capstone projects, Industry problem statements from internships
Career Connection
Specialized knowledge and a substantial project demonstrate expertise and a commitment to a specific career path, making you a strong candidate for advanced roles.
Focus on Placement Preparation and Networking- (Semester 5-6)
Actively participate in placement drives and workshops conducted by the college. Practice aptitude tests, group discussions, and mock interviews. Network extensively with alumni and industry professionals through career fairs and online platforms.
Tools & Resources
College placement cell resources, Online aptitude test platforms (e.g., IndiaBix), LinkedIn for professional networking, Alumni mentorship programs
Career Connection
Thorough preparation and effective networking are essential for navigating the Indian job market, converting interviews into offers, and securing desirable roles post-graduation.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 or equivalent examination from a recognized Board. Admission through Common University Entrance Test (CUET) conducted by NTA.
Duration: 3 Years (6 Semesters)
Credits: Approximately 132 credits (for a 3-year program under UGCF 2022) Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC-1 | Computer Fundamentals | Discipline Specific Core (Computer Application) | 4 | Introduction to Computers, Number Systems, Boolean Algebra and Logic Gates, Basic Computer Organization, Introduction to Software and Operating Systems |
| DSC-1 | Introduction to Operational Research and Linear Programming | Discipline Specific Core (Operation Research) | 4 | Introduction to Operational Research, Modeling and Formulation, Linear Programming Problem (LPP), Graphical Method, Simplex Method, Duality in LPP |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC-2 | Programming Using Python | Discipline Specific Core (Computer Application) | 4 | Python Fundamentals, Data Types and Operators, Control Flow Statements, Functions and Modules, Strings, Lists, Tuples, Dictionaries, File Handling |
| DSC-2 | Introduction to Queuing Theory and Inventory Management | Discipline Specific Core (Operation Research) | 4 | Queuing System Characteristics, Poisson Process and Exponential Distribution, M/M/1 Queuing Model, Inventory Control: Concepts and Costs, Economic Order Quantity (EOQ) Models, Selective Inventory Control (ABC Analysis) |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC-3 | Database Management Systems (DBMS) | Discipline Specific Core (Computer Application) | 4 | Database Concepts and Architecture, Entity-Relationship (ER) Model, Relational Model and Algebra, Structured Query Language (SQL), Database Design and Normalization, Transaction Management and Concurrency Control |
| DSC-3 | Sequencing, Assignment & Transportation Problems | Discipline Specific Core (Operation Research) | 4 | Sequencing Problems (n jobs on 2/3 machines), Assignment Problem: Hungarian Method, Transportation Problem: Initial Solution Methods, Transportation Problem: Optimality Test (MODI Method), Degeneracy in Transportation Problem, Transshipment Problem |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC-4 | Computer Networks and Internet Technologies | Discipline Specific Core (Computer Application) | 4 | Introduction to Computer Networks, Network Topologies and Devices, OSI and TCP/IP Reference Models, Internet Protocols (IP, TCP, UDP), Introduction to Web Technologies (HTML, CSS), Basics of Cyber Security |
| DSC-4 | Integer Programming and Network Analysis | Discipline Specific Core (Operation Research) | 4 | Integer Programming (IP) Formulation, Gomory''''s Cutting Plane Method, Branch and Bound Method for IP, Network Analysis: Shortest Path Problem (Dijkstra''''s), Minimum Spanning Tree Problem (Prim''''s, Kruskal''''s), Project Management: PERT and CPM |
