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B-SC in Software Development at St Aloysius College (Autonomous)
Dakshina Kannada, Karnataka
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About the Specialization
What is Software Development at St Aloysius College (Autonomous) Dakshina Kannada?
This B.Sc Software Development program at St. Aloysius University focuses on nurturing skilled professionals ready for India''''s burgeoning tech industry. It blends core computer science principles with practical software engineering methodologies, preparing students for diverse roles in software design, development, and maintenance. The curriculum emphasizes industry-relevant tools and contemporary programming paradigms to meet the high demand for proficient software developers in the Indian market.
Who Should Apply?
This program is ideal for ambitious 10+2 science graduates with a foundational interest in technology and problem-solving. It also caters to individuals passionate about coding, system design, and creating innovative software solutions. Students aspiring for entry-level developer roles, software testing, or contributing to various tech projects across startups and established IT firms in India will find this curriculum highly beneficial.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding careers as Junior Software Developers, Quality Assurance Engineers, Web Developers, or System Analysts within India. Entry-level salaries typically range from INR 3-6 LPA, with significant growth potential upskilling to senior roles. The program aligns with industry needs, equipping students for certifications in popular programming languages and development methodologies, enhancing their employability in the competitive Indian tech landscape.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate time to deeply understand C programming and data structures. Actively solve problems on platforms like HackerRank, CodeChef, and GeeksforGeeks. This builds a strong logical foundation essential for advanced topics and clears technical rounds in placements.
Tools & Resources
CodeChef, GeeksforGeeks, HackerRank
Career Connection
Develops core programming skills critical for entry-level developer roles and technical interviews.
Engage with Digital Electronics & OS Basics- (Semester 1-2)
While coding is central, understanding the underlying hardware (Digital Electronics) and system operations (Operating Systems, Linux Lab) is crucial. Explore tutorials on basic circuit design and practice Linux commands daily to build a comprehensive understanding of computing systems.
Tools & Resources
W3Schools Linux Tutorial, NPTEL courses
Career Connection
Provides a holistic understanding of software-hardware interaction, beneficial for system-level programming and infrastructure roles.
Cultivate Strong Study Habits & Peer Learning- (Semester 1-2)
Form study groups to discuss complex topics and collaborate on lab assignments. Leverage the university library and online resources like NPTEL. Early peer learning fosters problem-solving skills and a collaborative mindset, vital for team-based software projects.
Tools & Resources
University Library, NPTEL, Study Groups
Career Connection
Enhances academic performance and builds teamwork skills, crucial for collaborative software development environments.
Intermediate Stage
Build Real-world Projects- (Semester 3-5)
Apply theoretical knowledge from DBMS, Java, and Web Designing to create personal projects or contribute to open-source initiatives. Showcase these on GitHub. Practical project experience is invaluable for internships and demonstrating skill sets to Indian employers.
Tools & Resources
GitHub, Stack Overflow, Java IDEs, Web Development Frameworks
Career Connection
Creates a strong portfolio for internships and job applications, directly demonstrating practical skills to recruiters.
Explore Specialization Electives Deeply- (Semester 3-5)
Beyond the classroom, dive into your chosen electives (e.g., Data Mining, AI, ML, Cloud). Take online courses (Coursera, Udemy) and work on mini-projects related to these fields. This focused learning differentiates your profile for specific industry roles.
Tools & Resources
Coursera, Udemy, edX, Kaggle
Career Connection
Develops specialized skills for niche roles in data science, AI/ML, or cloud engineering, increasing job prospects in specific domains.
Network and Seek Internships- (Semester 3-5)
Attend tech meetups, workshops, and career fairs in Mangaluru or Bangalore. Connect with industry professionals on LinkedIn. Actively search for summer internships (even unpaid initially) to gain practical experience and understand corporate work culture in Indian tech companies.
Tools & Resources
LinkedIn, Internshala, Glassdoor, College Placement Cell
Career Connection
Provides practical industry exposure, builds professional networks, and often leads to pre-placement offers.
Advanced Stage
Focus on Major Project & Portfolio Development- (Semester 6)
The final year project is a critical component. Choose a challenging problem, build a robust solution, and document it professionally. Develop a strong online portfolio (GitHub, personal website) to showcase your skills and projects to potential employers.
Tools & Resources
GitHub Pages, Personal Website Builders, Jira/Trello for project management
Career Connection
A well-executed project and portfolio are key differentiators for securing top placements and demonstrate leadership in development.
Intensive Placement Preparation- (Semester 6)
Begin rigorous preparation for technical interviews, aptitude tests, and group discussions. Practice coding interview questions, brush up on core CS concepts, and participate in mock interviews. Utilize platforms like InterviewBit or LeetCode for competitive coding.
Tools & Resources
LeetCode, InterviewBit, GeeksforGeeks Interview Prep, Mock Interview Platforms
Career Connection
Maximizes chances of clearing recruitment processes for desired companies and achieving higher salary packages.
Align Skills with Industry Trends- (Semester 6)
Stay updated with emerging technologies and tools relevant to the Indian software development sector. Consider certifications in areas like AWS, Azure, or advanced programming languages. Tailor your skills and resume to match the specific demands of the companies you target.
Tools & Resources
AWS/Azure Certifications, Google Developers, Medium Tech Blogs, Industry Reports
Career Connection
Ensures employability in a rapidly evolving tech landscape and positions graduates for roles in cutting-edge areas.
Program Structure and Curriculum
Eligibility:
- Passed Two-Year Pre-University Examination conducted by the Karnataka Pre-University Education Board or any other examination considered as equivalent thereto by St Aloysius University, Mangaluru.
Duration: 6 semesters / 3 years
Credits: 136 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC 1.1 | Foundations of Software Development | Core | 4 | Introduction to Software, Software Development Life Cycle, Software Development Models, Software Project Management, Software Quality Assurance, Software Metrics |
| DSC 1.2 | Computer Fundamentals & Operating System | Core | 4 | Computer Basics, Input/Output Devices, Memory, Software Concepts, Operating System Introduction, Types of Operating Systems, Process Management, File Systems |
| DSC 1.3 | Digital Electronics | Core | 4 | Number Systems, Logic Gates, Boolean Algebra, Combinational Logic Circuits, Sequential Logic Circuits, Registers, Counters |
| DSCL 1.1 | Software Development Lab I | Lab | 2 | SDLC Phase Implementation, Software Engineering Tools, Requirement Gathering, Design Documentation, Testing Basics |
| DSCL 1.2 | Operating System Lab | Lab | 2 | Linux Commands, Shell Scripting, File Permissions, Process Management, Basic System Administration |
| AEC 1.1 | Environmental Studies | Ability Enhancement | 2 | Ecosystems, Natural Resources, Environmental Pollution, Social Issues and Environment, Environmental Ethics |
| VAC 1.1 | Cyber Security | Value Added Course | 2 | Cybercrime, Digital Forensics, Network Security, Cyber Law, Malware, Data Privacy |
| OEC 1.1 | Open Elective 1 | Elective | 3 | |
| ENG 1.1 | General English | Language | 3 | |
| KAN/HIN/ADD.ENG 1.1 | Kannada/Hindi/Additional English | Language | 3 |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC 2.1 | Problem Solving using C | Core | 4 | C Language Basics, Operators, Control Statements, Functions, Arrays, Strings, Pointers |
| DSC 2.2 | Data Structures using C | Core | 4 | Introduction to Data Structures, Arrays, Stacks, Queues, Linked Lists, Trees, Graphs, Searching, Sorting |
| DSC 2.3 | Discrete Mathematics | Core | 4 | Set Theory, Logic, Relations and Functions, Graph Theory, Combinatorics, Recurrence Relations |
| DSCL 2.1 | C Programming Lab | Lab | 2 | C Program Implementation, Debugging, File I/O, Command Line Arguments |
| DSCL 2.2 | Data Structures Lab | Lab | 2 | Implementation of Stacks, Queues, Linked Lists, Trees, Sorting Algorithms |
| AEC 2.1 | Indian Constitution | Ability Enhancement | 2 | Preamble, Fundamental Rights, Directive Principles, Union and State Legislature, Judiciary |
| VAC 2.1 | Health & Wellness | Value Added Course | 2 | Physical Health, Mental Health, Nutrition, Stress Management, Lifestyle Diseases, Yoga |
| OEC 2.1 | Open Elective 2 | Elective | 3 | |
| ENG 2.1 | General English | Language | 3 | |
| KAN/HIN/ADD.ENG 2.1 | Kannada/Hindi/Additional English | Language | 3 |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC 3.1 | Database Management Systems | Core | 4 | Introduction to DBMS, ER Model, Relational Model, SQL, Normalization, Transaction Management |
| DSC 3.2 | Object Oriented Programming using JAVA | Core | 4 | OOP Concepts, Java Basics, Classes and Objects, Inheritance, Polymorphism, Interfaces, Exception Handling |
| DSC 3.3 | Computer Networks | Core | 4 | Network Topologies, OSI Model, TCP/IP Model, Data Link Layer, Network Layer, Transport Layer, Application Layer |
| DSCL 3.1 | DBMS Lab | Lab | 2 | SQL Queries, Database Creation, Joins, Views, Stored Procedures |
| DSCL 3.2 | JAVA Lab | Lab | 2 | Java Program Implementation, Object-Oriented Design, GUI Programming, Exception Handling |
| SEC 3.1 | Python Programming | Skill Enhancement | 2 | Python Basics, Data Types, Control Flow, Functions, Modules, File Handling, Object-Oriented Python |
| SEC 3.2 | Web Designing | Skill Enhancement | 2 | HTML, CSS, JavaScript Basics, Responsive Design, Web Standards, Web Development Tools |
| OEC 3.1 | Open Elective 3 | Elective | 3 |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSC 4.1 | Software Engineering | Core | 4 | Software Process Models, Requirements Engineering, Software Design, Software Testing, Software Maintenance, Project Management |
| DSC 4.2 | Operating Systems | Core | 4 | OS Structure, Process Management, CPU Scheduling, Deadlocks, Memory Management, Virtual Memory, File Systems |
| DSC 4.3 | Data Communication & Networking | Core | 4 | Data Transmission, Network Devices, Protocols, Wired and Wireless Networks, Network Security Basics |
| DSCL 4.1 | Linux Lab | Lab | 2 | Advanced Linux Commands, Shell Scripting, User Management, Process Monitoring, Network Configuration |
| DSCL 4.2 | Software Engineering Lab | Lab | 2 | Software Requirements Specification, Use Case Diagrams, Class Diagrams, Test Case Design, Project Documentation |
| SEC 4.1 | Android Application Development | Skill Enhancement | 2 | Android Studio, Activities, Layouts, Intents, User Interface Design, Data Storage, Permissions |
| SEC 4.2 | Cloud Computing | Skill Enhancement | 2 | Cloud Models, Service Models, Deployment Models, Virtualization, Cloud Security, Cloud Providers |
| OEC 4.1 | Open Elective 4 | Elective | 3 |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSE 5.1A | Data Mining (Elective Option) | Elective | 4 | Data Mining Process, Data Preprocessing, Association Rule Mining, Classification, Clustering, Web Mining |
| DSE 5.1B | Internet of Things (Elective Option) | Elective | 4 | IoT Architecture, Sensors, Actuators, IoT Protocols, Cloud Platforms, Security and Privacy in IoT |
| DSE 5.1C | Artificial Intelligence (Elective Option) | Elective | 4 | AI History, Intelligent Agents, Problem Solving, Knowledge Representation, Machine Learning Basics, Expert Systems |
| DSE 5.2A | Computer Graphics (Elective Option) | Elective | 4 | Graphics Hardware, Output Primitives, 2D Transformations, 3D Transformations, Viewing, Projections, Shading |
| DSE 5.2B | Big Data Analytics (Elective Option) | Elective | 4 | Big Data Characteristics, Hadoop Ecosystem, MapReduce, HDFS, Data Stream Mining, NoSQL Databases |
| DSE 5.2C | Machine Learning (Elective Option) | Elective | 4 | Supervised Learning, Unsupervised Learning, Regression, Classification, Clustering, Model Evaluation, Neural Networks |
| DSCL 5.1 | Lab based on DSE 5.1 (e.g., Data Mining Lab) | Lab | 2 | Practical implementation based on chosen DSE 5.1 elective |
| DSCL 5.2 | Lab based on DSE 5.2 (e.g., Machine Learning Lab) | Lab | 2 | Practical implementation based on chosen DSE 5.2 elective |
| SEC 5.1 | Project Work (Minor) | Skill Enhancement/Project | 2 | Project Proposal, Literature Review, System Design, Implementation, Testing, Project Report |
| SEC 5.2 | Professional Ethics | Skill Enhancement | 2 | Ethical Theories, Professional Code of Conduct, Cyber Ethics, Intellectual Property Rights, Social Responsibility |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| DSE 6.1A | Software Testing (Elective Option) | Elective | 4 | Testing Fundamentals, Test Levels, Test Techniques, Test Management, Automation Testing, Quality Assurance |
| DSE 6.1B | Information Security (Elective Option) | Elective | 4 | Security Principles, Cryptography, Network Security, Access Control, Security Policies, Risk Management |
| DSE 6.1C | Data Science (Elective Option) | Elective | 4 | Data Science Lifecycle, Statistical Modeling, Data Visualization, Predictive Analytics, Feature Engineering, Big Data Tools |
| DSE 6.2A | Cyber Forensics (Elective Option) | Elective | 4 | Digital Evidence, Forensic Process, OS Forensics, Network Forensics, Mobile Forensics, Legal Aspects |
| DSE 6.2B | Blockchain Technology (Elective Option) | Elective | 4 | Blockchain Fundamentals, Cryptography, Distributed Ledger, Consensus Mechanisms, Smart Contracts, DApps |
| DSE 6.2C | Deep Learning (Elective Option) | Elective | 4 | Neural Networks, Activation Functions, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, Deep Learning Frameworks |
| DSCL 6.1 | Lab based on DSE 6.1 (e.g., Software Testing Lab) | Lab | 2 | Practical implementation based on chosen DSE 6.1 elective |
| DSCL 6.2 | Lab based on DSE 6.2 (e.g., Deep Learning Lab) | Lab | 2 | Practical implementation based on chosen DSE 6.2 elective |
| SEC 6.1 | Project Work (Major) | Skill Enhancement/Project | 4 | Advanced Project Management, System Development, Documentation, Presentation, Viva-Voce |
