bachelor-of-computer-applications

Vision

To provide an excellent platform for students to achieve technical, ethical skills and to excel in the field of information technology.

Mission

To educate students at fundamental and advanced concepts of computing discipline and provide quality education. To guide students to attain professional competency that helps them to meet growing demands of global environment.

Objectives

To help students to learn and understand fundamental and advanced concepts by providing hands on experience.
To impart practical skills by encouraging students to get certifications in different discipline.
To foster leadership qualities and over all development of students.
To help students pursue excellent career opportunities.
To instill ethical, innovative and critical thinking skills and get students industry ready.

Surana Evening College Kengeri offers a Bachelor of Computer Applications (BCA) program designed for aspiring IT professionals. As one of the top ten BCA colleges in Bangalore, we provide a comprehensive curriculum that covers the latest in coding, programming languages, and software development. Our evening classes allow students to balance their work commitments while pursuing their degree. Surana evening college is considered as one among top ten BCA colleges in Bangalore. The college features well-equipped computer labs and experienced faculty who bring real-world expertise to the classroom.

In addition, we offer various workshops, seminars, and industry interactions to enhance practical learning and keep students updated with industry trends. Our supportive learning environment and flexible schedules ensure that working professionals can advance their education without compromising their day jobs. Enroll at Surana Evening College Kengeri to gain the skills and knowledge needed to excel in the dynamic field of information technology. Graduates from our BCA program are well-prepared for careers in software development, IT management, and other tech-driven fields, making them highly sought after by employers.

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Program Overview

Bachelor of Computer Applications is an undergraduate programme affiliated to Bangalore University. The four years full time course (NEP) is designed to mentor students and with the rapid growth of the IT industry in India, the demand of computer professionals is increasing day by day.

Surana Evening College provide students with the best opportunities to be well-rounded programmer and software engineers. The Institution offers experiential learning for the students through an assortment of programmes like IT club activities through ‘Cront’, class activities on Real-life challenges, Talent hunt Programmes, Guest lectures, Seminars, Group discussion, Debate on current affairs and many other Skill Enhancement Programmes and Dissertation.

Bachelor of Computer Applications (BCA) is one of the popular courses among the students who want to make their career in the IT field. It comprises the subjects like Problem Solving Techniques, Data Structure, Database Management System, Computer Architecture, Artificial Intelligence, Design and Analysis of Algorithm, Python Programming, Networking and core programming languages like C, C++, HTML and Java. This course provides a lot of opportunities to the students who are interested in the computer field and want to work in the IT sector as programmers or software developers.

Eligibility for Admission

A candidate who has passed two years Pre-University Examination conducted by the Pre-University Education Board in the state of Karnataka or JODC / Three years Diploma in Engineering or any other examination considered as equivalent thereto shall be eligible for admission to this programme.

Qualification type and credit requirements:

Levels	Qualification Title	Credit Requirements
Level 5	Undergraduate Certificate (in the field of learning/discipline) for those who exit after the first year (two semesters) of the undergraduate programme. (Programme duration: first year or two semesters of the undergraduate programme)	36-40
Level 6	Undergraduate Diploma (in the field of learning/discipline) for those who exit after two years (four semesters) of the undergraduate programme (Programme duration: First two years or four semesters of the undergraduate programme)	72–80
Level 7	Bachelor’ Degree (Programme duration: Three years or six semesters).	108–120
Level 8	Bachelor’ Degree (Honours/Research) (Programme duration: Four years or eight semesters).	144–160

Program Overview

Provide students with a strong foundation in computer science and its applications.
Equip students with analytical and problem-solving skills required to design, develop, and maintain computer software and systems.
To foster practical skills by providing laboratory work, projects, and internships, allowing students to apply their theoretical knowledge to practical situations, use various software and hardware tools, and gain hands-on experience.
Develop students’ creativity and innovation by exposing them to emerging technologies and cutting-edge research in the field of computer science.
Foster teamwork and communication skills among students by encouraging them to work on group projects and presentations.
Develop students’ managerial and leadership skills by providing them with a basic understanding of business and management principles and practices.
Prepare students for a successful career in the rapidly growing IT industry by providing them with hands-on experience through projects, internships, and industry collaborations.
Encourage students to pursue further studies in computer science or related fields.
Nurture students’ ethical and social responsibility by promoting values such as honesty, integrity, respect, and environmental awareness.

Program Outcomes

Prepare students to apply knowledge of computer science, mathematics, and management in practice.
Enhance programming skills of young IT professionals.
Enable to become software and hardware entrepreneur.
Acquiring knowledge on basics of Computer Science and ability to apply to design principles in the development of solutions for problems of varying complexity.
Exhibiting strong skills required to program a computer for various issues and problems of day-to-day applications with thorough knowledge on programming languages of various levels.
Must have a reasonably good communication knowledge both in oral and writing.

I SEMESTER

SUBJECT:PROBLEM SOLVING TECHNIQUES USING C

CO1: Write efficient algorithms to solve various problems.
CO2: Understand and use various constructs of the programming language such as conditionals, iteration, and recursion.
CO3: Implement your algorithms to build programs in the C programming language.
CO4: Use data structures like arrays, linked lists, and stacks to solve various problems.
CO5: Understand and use file handling in the C programming language.

SUBJECT:DATA STRUCTURES USING C

CO1: Understand the concept of Dynamic memory management, data types, algorithms, Big O notation.
CO2: Understand basic data structures such as arrays, linked lists, stacks and queues.
CO3: Describe the hash function and concepts of collision and its resolution methods.
CO4: Solve problem involving graphs, trees and heaps.
CO5: Apply algorithm for solving problems like sorting, searching, insertion and deletion of data

Subject:DISCRETE MATHEMATICS

CO1: Perform operations on various discrete structures such as sets, functions, relations, and sequences.
CO2: Understand and apply propositional logics and predicates.
CO3: Ability to solve problems using Counting techniques, Permutation and Combination, Recursion and generating functions.
CO4: Perform operations on matrix and understand applications of matrix to solve linear equations.
CO5: Apply graphs and trees as tools to visualize and simplify problems.

Subject: C PROGRAMMING (PST) LAB

CO1: Understand the usage of primitive and user defined data types and use them.
CO2: Understand the working of basic C constructs like loops and switch.
CO3: Ability to use single and multi-dimensional datatypes.
CO4: Demonstrate the usage of strings and their functions
CO5: Build structure and union datatypes for real world applications.

Subject: DATA STRUCTURES LAB

CO1: Understand the concept of data structures and apply algorithm for solving problems like Sorting, searching, insertion and deletion of data.
CO2: Understand and implement linear data structures and their applications for processing of ordered or unordered data.
CO3: Explore various operations on dynamic data structures like single linked list, circular linked list and doubly linked list.
CO4: Explore the concept of nonlinear data structures such as binary search trees and heap trees.
CO5: Demonstrate operations on strings without using library functions.

II SEMESTER

SUBJECT:OBEJECT ORIENTED PROGRAMMING USING JAVA

CO1: Describe the procedural and object-oriented paradigm with concepts of streams, classes, functions, data, and objects.
CO2: Understand dynamic memory management techniques using pointers, constructors and destructors.
CO3: Describe the concept of function overloading, operator overloading, virtual functions, and polymorphism.
CO4: Classify inheritance with the understanding of early and late binding, usage of exception handling, generic programming.
CO5: Demonstrate the use of various OOPs concepts with the help of programs

SUBJECT:DATABASE MANAGEMENT SYSTEM

CO1: Describe DBMS architecture, physical and logical database designs, database modelling, relational, hierarchical and network models.
CO2: Identify basic database storage structures and access techniques such as file organizations, indexing methods including B-tree, and hashing.
CO3: Learn and apply Structured query language (SQL) for database definition and database manipulation.
CO4: Demonstrate an understanding of normalization theory and apply such knowledge to the normalization of a database.
CO5: Understand various transaction processing, concurrency control mechanisms and database protection mechanisms.

SUBJECT:COMPUTER ARCHITECTURE

CO1: Explain the organization of basic computer, its design and the design of control unit.
CO2: Demonstrate the working of central processing unit and RISC and CISC Architecture.
CO3: Describe the operations and language f the register transfer, micro-operations, and input- output organization.
CO4: Understand the organization of memory and memory management hardware.
CO5: Elaborate advanced concepts of computer architecture, Parallel Processing, inter-processor communication and synchronization.

SUBJECT:JAVA LAB

CO1: Ability to write java programs for real world problems.
CO2: Develop web applications and standalone applications.
CO3: Demonstrate usage of constructors.
CO4: Ability to write applet programs and implement graphical user interface.
CO5: Implement threads, mouse and keyboard events.

SUBJECT:DATABASE MANAGEMENT SYSTEM LAB

CO1: Ability to convert ER diagrams to relational tables.
CO2: Identify normalization conditions and build normalized relational tables.
CO3: Perform various operations on a relational database such as Creating Tables (With and Without Constraints), Inserting/Updating/Deleting.
CO4: Ability to write and execute queries for given scenarios on a given relational database.
CO5: Demonstrate the knowledge of primary keys and foreign keys and their usages.

III SEMESTER

SUBJECT:OPERATING SYSTEMS

CO1: Learning the evolution, importance, concepts and structure of an operating system.
CO2: Analyzing scheduling algorithms, understanding need for process synchronization and methods of handling deadlocks.
CO3: Understanding efficient resource allocation w.r.t primary memory
CO4: Understanding file management concepts and evaluating disk scheduling algorithms
CO5: Getting familiarized with protection and security mechanisms.
CO6: Explain the various features of distributed OS like Unix, Linux, windows etc.

SUBJECT:COMPUTER NETWORKS

CO1: Understand computer network basics, network architecture, TCP/IP and OSI reference models.
CO2: Identify and understand various techniques and modes of transmission.
CO3: Describe data link protocols, multi-channel access protocols.
CO4: Describe routing and congestion in network layer with routing algorithms and classify IPV4 addressing scheme.
CO5: Discuss the elements and protocols of transport layer.
CO6: Understand network security and define various application layer protocols such as FTP, HTTP, Telnet, DNS.

SUBJECT:PYTHON PROGRAMMING

CO1: Interpret the fundamental Python syntax and semantics and be fluent in the use of Python control flow statements
CO2: Express proficiency in the handling of strings and functions.
CO3: Determine the methods to create and manipulate Python programs by utilizing the data structures like lists, dictionaries, tuples and sets.
CO4: Identify the commonly used operations involving file systems and regular expressions.
CO5: Articulate the Object-Oriented Programming concepts such as encapsulation, inheritance and polymorphism as used in Python.

SUBJECT:COMPUTER NETWORKING LAB

CO1: Understand and use commands on CLI for network troubleshooting and traffic monitoring.
CO2: Study and understand real usages of different kinds of network components like cables, switches, routers and bridges.
CO3: Understand and configure IP addresses to network devices and design a LAN.
CO4: Ability to build hardware components like patch cords for LAN.
CO5: Understand and implement resource sharing in LAN such as hotspot configurations, sharing a printer and files.
CO6: Understand and configure windows security system like firewalls for blocking unwanted traffic.
CO6: Ability to use LAN design and simulation tool like Cisco Packet Tracer for configuring VLANs and VPNs

SUBJECT:PYTHON PROGRAMMING LAB

CO1: Ability to program using Object Oriented concepts in python programming language.
CO2: Ability to work with different types of files. CO3: Ability to work with APIs and data visualization.

IV SEMESTER

SUBJECT:SOFTWARE ENGINEERING

CO1: Understanding the definition of software engineering and ethics of software engineers
CO2: Ability to analyze the problem based on software engineer’s perspective, gathering the requirements to write SRS.
CO3: Implementing to produce architectural design and detail design of the software based on requirements and generate programming code.
CO4: To implement validation and verification process through software prototype developed and cost estimation.
CO5: Implementing the formal models to specify the behavior of systems and to experience the design of a system, also will be proficient in the basic techniques and tools for carrying out formal verification of software systems.

SUBJECT:INTERNET TECHNOLOGY

CO1: Comprehensive knowledge of Internet and its working.
CO2: Ability to use services offered by internet.
CO3: Skills to develop websites using HTML and DHTML.
CO4: Clear understanding of Web application frameworks
CO5: Learn the research trends on web.

SUBJECT: DESIGN AND ANALYSIS OF ALGORITHMS

CO1:Analyze the computational complexity of different algorithms.
CO2: Develop the solution for given problems using divide and conquer and decrease and conquer methods.
CO3:Develop an algorithm using Greedy method and transform and conquer methods.
CO4: Develop the solution for given problems using Dynamic programming approach.
CO5: Develop the solution for given problems using Backtracking and Branch-and-Bound technique.

SUBJECT: DESIGN AND ANALYSIS OF ALGORITHMS LAB

CO1:Analyse the computational complexity of different algorithms.
CO2: Develop the solution for given problems using divide and conquer and decrease and conquer methods.
CO3:Develop an algorithm using Greedy method and transform and conquer methods.
CO4: Develop the solution for given problems using Dynamic programming approach.
CO5: Develop the solution for given problems using Backtracking and Branch-and-Bound technique.

SUBJECT:INTERNET TECHNOLOGIES LAB

CO1:Analyze a web page and identify its elements and attributes.
CO2:Develop the solution for given problems using divide and conquer and decrease and conquer methods.
CO3:Build dynamic web pages using JavaScript (Client side programming).
CO4: Create XML documents and Schemas.

V SEMESTER

SUBJECT:ARTIFICIAL INTELLIGENCE

CO1: Understand the various characteristics of problem solving agents and apply problem solving through search for AI applications.
CO2: Appreciate the concepts of knowledge representation using Propositional logic and Predicate calculus and apply them for inference/reasoning.
CO3: Obtain insights about Planning and handling uncertainty through probabilistic reasoning and fuzzy systems.
CO4: Understand basics of computer vision and Natural Language Processing and understand their relevance in AI applications.
CO5: Obtain insights about machine learning, neural networks, deep learning networks and their significance.

SUBJECT:DATA ANALYTICS

CO1: Analyze and interpret large datasets to extract meaningful insights.
CO2: Apply statistical methods and data visualization techniques for effective data communication.
CO3: Develop proficiency in using data analytics tools and software.
CO4: Utilize predictive modeling and machine learning algorithms for data-driven decision-making.
CO5: Ethically handle and manage data to ensure privacy and security in analytics processes.

SUBJECT:WEB PROGRAMMING

CO1: Understand the basics of Web Programming concepts.
CO2: To build dynamic web pages with validation using JavaScript objects and by applying different event-handling mechanisms.
CO3: Analyze various PHP library functions that manipulate files and directories.
CO4: To develop modern interactive web applications using PHP and XML.

SUBJECT:DATA MINING

CO1: Identify the scope and necessity of Data Mining & Warehousing for the society.
CO2: Describe the designing of Data Warehousing so that it can be able to solve the root problems.
CO3: To understand various tools of Data Mining and their techniques to solve the real time problems.
CO4: To develop ability to design various algorithms based on data mining tools.
CO5: To develop further interest in research and design of new Data Mining techniques.

SUBJECT:DATA ANALYTICS LAB

CO1: Understand and implement the basics of data structures like Linked list, stack, queue, set and map in Java.
CO2: Demonstrate the knowledge of big data analytics and implement different file management task in Hadoop.
CO3: Understand Map Reduce Paradigm and develop data applications using variety of systems.
CO4: Analyze and interpret data using an ethically responsible approach.

SUBJECT:WEB PROGRAMMING LAB

CO1: Analyze a web page and identify its elements and attributes.
CO2: Create web pages using XHTML and Cascading Style Sheets.
CO3: Build dynamic web pages using JavaScript (Client side programming).
CO4: Create XML documents and Schemas.
CO5: To learn HTML tags and JavaScript language programming concepts and techniques.
CO6: To develop the ability to logically plan and develop web pages.
CO7: To learn to write, test, and debug web pages using HTML and JavaScript.

VI SEMESTER

SUBJECT:Machine Learning

CO1: Learn the basics of machine learning, understanding its uses, challenges, and various applications.
CO2: Build practical data skills, covering data collection, analysis, visualization, and preparation.
CO3: Become skilled in using classification and regression algorithms, including selecting, training, and evaluating models.
CO4: Dive into advanced clustering and specialized applications, using methods like KMeans, DBSCAN, and others.

SUBJECT:Mobile Application Development

CO1: Understand the basic concepts of Mobile application development.
CO2: Design and develop user interfaces for the Android platforms.
CO3: Apply Java programming.

SUBJECT:Electronic Content Design

CO1: To deliver the content via various media such as radio, television, computer etc.
CO2: To increase students’ concentration on particular subject matter in depth learning.
CO3: To feel emotionally good with joyful learning and active learning involvement of students during the content delivery.
CO4: To reuse many time the content to various group of same class without hesitate and unchanging.
CO5: To handle easy to the facilitators during the content delivery.
CO6: To modify the content with present time needs.

SUBJECT:SOFTWARE TESTING

CO1: Differentiate the various testing techniques.
CO2: Derive Test Cases for any given problem.
CO3: Classify the problem into suitable testing models.
CO4: Apply a wide variety of testing techniques in an effective and efficient manner.
CO5: Explain the need for planning and monitoring a process.
CO6: To modify the content with present time needs.

SUBJECT:Machine Learning Lab

CO1: Achieve proficiency in setting up Python, installing vital libraries, and configuring essential tools.
CO2: Demonstrate competence in data manipulation, dataset loading, and the creation of insightful visualizations.
CO3: Exhibit the ability to preprocess data, address missing values, perform categorical encoding, and implement fundamental machine learning algorithms.
CO4: Develop an understanding of clustering techniques, create cluster visualizations, and interpret decision tree splits.

SUBJECT:Mobile Application Development Lab

CO1: Understand the basic concepts of Mobile application development.
CO2: Design and develop user interfaces for the Android platforms
CO3: Apply Java programming.

Program Educational Objectives

PSO1: Apply the Knowledge gained through Algorithms, Mathematics, Statistics, Accounting to fields with Computer Applications.
PSO2: Develop Problem Analysis of Identifying, Formulating, Reviewing, and Analyzing problems where Computers are put into use.
PSO3: Possess Knowledge and understanding of the Software Engineering Principles and apply this to a team as a team leader to achieve a specific goal.
PSO4: Ability to develop state-of-the-art software by proper understanding of its limitations.
PSO5: Understand the impact of Computers when applied to various divergence fields in context of environmental sustainability.
PSO6: Apply Ethical Principles and commit to Professional Ethics and norms of Information Technology Practice.
PSO7: Ability to Communicate Effectively, write effective reports, Documentation, give and receive clear Instructions.
PSO8: Ability to evaluate the reliability and relevance of evidence; identify logical flaws and gaps in the arguments of others; analyze data from a variety of sources; draw valid conclusions and support them with evidence and examples and addressing opposing viewpoints.

I Semester

Course Code	Course title	Teaching hours	Credits
CA-C1T	Discrete Structure	3	3
CA-C2T	Problem solving Techniques	3	3
CA-C3T	Data Structure	3	3
CA-C4L	Problem solving Lab	2	2
CA-C5L	Data Structure Lab	2	2
Languages, Skill Enhancement (SEC), and Ability Enhancement Course	OE1: Open Elective	3	3
	Language L1	3	3
	Language L2	3	3
	SEC Office Management Tools	2	2
	Health & Wellness	1	1
	Physical Education	1	1
	Total Credits	26	26

II Semester

Course Code	Course title	Teaching hours	Credits
CA-C6T	Computer Architecture	3	3
CA-C7T	Object Oriented Programming using Java	3	3
CA-C8T	Database Management System	3	3
CA-C9L	Java Lab	2	2
CA-C10L	Database Management System Lab	2	2
Languages, Skill Enhancement (SEC), and Ability Enhancement Courses	OE2: Open Elective	3	3
	Language L1	3	3
	Language L2	3	3
	Environmental studies	2	2
	Physical Education	1	1
	NCC/NSS/CL/R-R	1	1
	Total Credits	26	26

III Semester

Course Code	Course title	Teaching hours	Credits
CA-C11T	Operating Systems	3	3
CA-C12T	Computer Networks	3	3
CA-C13T	Python Programming	3	3
CA-C14L	Computer Networks Lab	2	2
CA-C15L	Python Programming Lab	2	2
Languages, Skill Enhancement (SEC), and Ability Enhancement Courses	OE3: Open Elective	3	3
	Language L1	3	3
	Language L2	3	3
	SEC II: Computer Assembly and Repair	2	2
	Physical Education	1	1
	NCC/NSS/CL/R-R	1	1
	Total Credits	26	26

IV Semester

Course Code	Course title	Teaching hours	Credits
CA-C16T	Software Engineering	3	3
CA-C17T	Design and Analysis of Algorithm	3	3
CA-C18T	Internet Technologies	3	3
CA-C19L	Design and Analysis of Algorithm Lab	2	2
CA-C20L	Internet Technologies Lab	2	2
Languages, Skill Enhancement (SEC), and Ability Enhancement Courses	OE4: Open Elective	3	3
	Language L1	3	3
	Language L2	3	3
	The Constitution of India	2	2
	Physical Education	1	1
	NCC/NSS/CL/R-R	1	1
	Total Credits	26	26

V Semester

Course Code	Course title	Teaching hours	Credits
CA-C21T	Artificial Intelligence	4	4
CA-C22T	Data Analytics	4	4
CA-C23T	Web programming	4	4
CA-C24L	Data Analytics lab	2	2
CA-C25L	Web programming lab	2	2
SKILL Enhancement (SEC) and Ability Enhancement courses	CA-VI Vocational course1: quantitative techniques	3	3
	Elective I	3	3
	SEC III	3	3
	Total Credits	25	25

VI Semester

Course Code	Course title	Teaching hours	Credits
CA-C26P	Project Work	4	4
CA-C27T	Machine Learning	4	4
CA-28T	Mobile Application Development	4	4
CA-29L	Machine Learning Lab	2	2
CA-30L	Mobile Application Lab	2	2
SKILL Enhancement (SEC) and Ability Enhancement courses	CA-VI Vocational course1: quantitative techniques	3	3
	Elective II	3	3
	Internship	2	2
	Total Credits	24	24

Career Opportunities

Bachelor of Computer Applications course imparts students knowledge of basic computing skills and software development. It is usually the first step into the world of Information technology. In the current era of technological advancement, digitalization, and an epochal shift to an economy primarily based upon information technology, it is emerging as one of the most popular courses among young students.

There are diverse job opportunities for BCA graduates in many sectors. They are as follows:

Technical Analyst
Data Scientist
Web Developer
Software Developer Trainee
Banking Sector
Cyber Security Expert
Blockchain Developer
Database Administrator

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