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B-TECH in Information Technology at Chaitanya Bharathi Institute of Technology
Ranga Reddy, Telangana
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About the Specialization
What is Information Technology at Chaitanya Bharathi Institute of Technology Ranga Reddy?
This Information Technology program at Chaitanya Bharathi Institute of Technology focuses on equipping students with a strong foundation in computing principles and their practical applications. The curriculum is designed to meet the evolving demands of the Indian IT industry, emphasizing cutting-edge technologies like Artificial Intelligence, Machine Learning, Data Science, and Full Stack Development. The program differentiates itself through a blend of theoretical knowledge and hands-on laboratory experiences, preparing graduates for immediate impact.
Who Should Apply?
This program is ideal for fresh graduates from intermediate or 10+2 backgrounds with a strong aptitude for mathematics and logical reasoning, seeking entry into the dynamic field of information technology. It also caters to individuals passionate about problem-solving through code and those aspiring to build innovative software solutions. Furthermore, it suits working professionals eager to upskill in trending IT domains or career changers aiming to transition into the fast-paced Indian tech industry, provided they meet the academic prerequisites.
Why Choose This Course?
Graduates of this program can expect diverse and rewarding career paths within India''''s booming IT sector, including roles as Software Developers, Data Scientists, AI/ML Engineers, Cyber Security Analysts, and Full Stack Developers. Entry-level salaries typically range from INR 3-6 LPA, with experienced professionals earning significantly higher, often reaching INR 10-25 LPA or more, depending on specialization and company. The comprehensive curriculum prepares students for various professional certifications, enhancing their growth trajectory in leading Indian and global IT companies.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to practice core programming concepts in C/C++ and Data Structures. Solve 3-5 coding problems daily on online judges to solidify logic and algorithm implementation. Focus on understanding pointers, arrays, functions, and object-oriented principles.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, CodeChef, Let Us C by Yashavant Kanetkar
Career Connection
A strong programming foundation is crucial for cracking technical interviews, excelling in internships, and building robust software, essential for roles like Software Developer and SDET.
Build Strong Academic Habits- (Semester 1-2)
Attend all lectures and labs, actively participate, and clarify doubts promptly. Form study groups with peers to discuss complex topics and practice problem-solving together. Maintain detailed notes and revise regularly, especially before mid-term and end-semester exams.
Tools & Resources
Class notes, Textbooks, Peer discussion groups, NPTEL videos for supplementary learning
Career Connection
Strong academic performance and disciplined study habits form the bedrock for understanding advanced concepts, leading to higher grades and better opportunities for higher studies or competitive placements.
Engage in Early Skill Building Workshops- (Semester 1-2)
Participate in introductory workshops or online courses on essential tools like Python programming, Linux commands, and basic web development (HTML/CSS). This provides a head start on practical skills not fully covered in the first year curriculum.
Tools & Resources
Coursera, Udemy, freeCodeCamp, W3Schools, local college workshops
Career Connection
Early exposure to industry-relevant tools makes you more versatile, opens doors to early internships, and helps in identifying areas of interest for future specialization, critical for roles in IT support or junior development.
Intermediate Stage
Apply Learning Through Projects & Internships- (Semester 3-5)
Actively seek out and participate in mini-projects, hackathons, or open-source contributions related to Data Structures, DBMS, OS, and Computer Networks. Look for summer internships after the 4th semester to gain industry exposure and apply theoretical knowledge in a real-world setting.
Tools & Resources
GitHub, LinkedIn, Internshala, college placement cell, project guidance from faculty
Career Connection
Practical projects demonstrate problem-solving skills to recruiters, while internships provide invaluable industry experience, professional networking, and often lead to pre-placement offers in roles like Data Analyst, Jr. Software Engineer, or Network Support.
Develop Specialization Skills- (Semester 4-5)
Based on interest in subjects like Machine Learning, AI, or Web Technologies, dive deeper by taking advanced online courses or participating in specialization-focused clubs. Work on more complex projects in your chosen area, potentially collaborating with faculty.
Tools & Resources
Kaggle, Google Colab, TensorFlow/PyTorch documentation, specialized MOOCs from edX/Coursera, departmental workshops
Career Connection
Deep specialization makes you a desirable candidate for niche roles such as AI/ML Engineer, Data Scientist, or Full Stack Developer, allowing for higher earning potential and faster career growth in India''''s competitive job market.
Enhance Communication & Soft Skills- (Semester 3-5)
Actively participate in seminars, technical paper presentations, and group discussions. Join Toastmasters or similar clubs to improve public speaking, critical thinking, and interpersonal skills. This is crucial for interviews and professional collaboration.
Tools & Resources
English Language & Communication Skills Lab, college debating/public speaking clubs, online communication courses
Career Connection
Strong communication skills are vital for conveying technical ideas, leading teams, and excelling in client-facing roles. They are often a differentiator in placement interviews for all IT roles, from technical to management.
Advanced Stage
Ace Placements through Targeted Preparation- (Semester 6-8)
Focus intensely on interview preparation, covering Data Structures and Algorithms, System Design, and core IT concepts. Practice mock interviews, solve company-specific questions, and refine your resume and portfolio based on feedback.
Tools & Resources
InterviewBit, LeetCode premium, company-specific interview experiences on GeeksforGeeks, mock interview platforms, college placement cell training
Career Connection
This direct preparation is paramount for securing desirable placements with top-tier Indian and MNCs, leading to roles like Senior Software Engineer, Data Scientist, or Cloud Engineer.
Undertake a High-Impact Major Project- (Semester 7-8)
Select a challenging final year project that solves a real-world problem or innovates within your specialization. Focus on demonstrating a complete development lifecycle, from conception to deployment. Aim for publication or presentation at conferences.
Tools & Resources
Project guidance from faculty, industry mentors, research papers, latest development tools and frameworks
Career Connection
A well-executed major project serves as a powerful portfolio piece, showcasing advanced technical skills, problem-solving abilities, and initiative, directly impacting your employability for advanced R&D or specialized engineering roles.
Build a Professional Network & Brand- (Semester 6-8)
Network with alumni, industry experts, and potential employers through LinkedIn, industry events, and college alumni meets. Maintain an updated professional profile, showcase your projects, and contribute to relevant online communities.
Tools & Resources
LinkedIn, industry conferences, college alumni association, personal blog/website
Career Connection
A strong professional network can open doors to unadvertised job opportunities, mentorship, and career growth, providing a significant advantage in navigating the Indian IT job market and securing leadership roles.
Program Structure and Curriculum
Eligibility:
- Intermediate (10+2) with Maths, Physics, Chemistry from a recognized board, and a valid rank in EAMCET/JEE Main examination as per Telangana State Council of Higher Education (TSCHE) norms.
Duration: 8 semesters / 4 years
Credits: 163 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23ESM01 | Linear Algebra & Calculus | Core | 4 | Matrices and their applications, Eigenvalues and Eigenvectors, Differential Calculus of one variable, Multivariable Calculus, Vector Calculus |
| 23CHS01 | Engineering Chemistry | Core | 3 | Molecular Structure and Bonding, Electrochemistry and Batteries, Corrosion and its Control, Water Technology and Treatment, Engineering Materials |
| 23EGS01 | English for Skill Enhancement | Core | 2 | Listening and Speaking Skills, Reading Comprehension, Writing Skills for Academic and Professional contexts, Vocabulary and Grammar, Oral Presentations |
| 23ITT01 | Programming for Problem Solving | Core | 3 | Introduction to Programming Languages, Control Flow Statements, Functions and Modular Programming, Arrays and Pointers, Structures, Unions and File Handling |
| 23ESM02 | Linear Algebra & Calculus Lab | Core | 1 | MATLAB basics, Matrix operations and manipulations, Solving systems of linear equations, Plotting functions and data, Numerical methods using MATLAB |
| 23CHS02 | Engineering Chemistry Lab | Core | 1 | Titrimetric analysis, pH and conductivity measurements, Determination of water hardness, Spectrophotometric analysis, Viscosity and surface tension experiments |
| 23EGS02 | English Language & Communication Skills Lab | Core | 1 | Pronunciation practice (IPA), Group Discussions, Interview Skills, Public Speaking, Role Plays and Debates |
| 23ITT02 | Programming for Problem Solving Lab | Core | 1 | C programming exercises, Conditional statements and loops, Functions and recursion, Array and string manipulation, Pointers and dynamic memory allocation |
| 23ESM03 | Engineering Graphics | Core | 1 | Orthographic Projections, Projection of Solids, Sections of Solids, Isometric Projections, Introduction to AutoCAD |
| 23CSC01 | Information Technology Workshop | Core | 1 | Computer hardware and assembly, Operating system installation and usage, Productivity tools (MS Office/LibreOffice), Networking basics and configurations, Cyber hygiene and security awareness |
| 23MN01 | NSS/NCC/Sports | Mandatory | 0 | Community Service Initiatives, Leadership and Discipline, Physical Fitness Activities, Environmental Awareness, Teamwork and Social Responsibility |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23ESM04 | Differential Equations | Core | 3 | First Order Ordinary Differential Equations, Higher Order Linear ODEs, Laplace Transforms, Applications of Laplace Transforms, Fourier Series |
| 23PHS01 | Engineering Physics | Core | 3 | Wave Optics and Lasers, Quantum Mechanics, Solid State Physics, Semiconductor Devices, Fiber Optics and Communications |
| 23ESC01 | Basic Electrical & Electronics Engineering | Core | 3 | DC and AC Circuits, Transformers and Electrical Machines, Semiconductor Diodes and Rectifiers, Transistors and Amplifiers, Operational Amplifiers |
| 23ITT03 | Data Structures | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Search Trees, Graphs and Graph Traversal Algorithms, Hashing Techniques |
| 23CSO01 | Object Oriented Programming | Core | 3 | Introduction to OOP Concepts, Classes, Objects, and Methods, Inheritance and Polymorphism, Abstract Classes and Interfaces, Exception Handling and File I/O |
| 23PHS02 | Engineering Physics Lab | Core | 1 | Determination of wavelength of light, Diffraction and Interference experiments, Photoelectric effect, Characteristics of PN junction diode, Study of LED characteristics |
| 23ESC02 | Basic Electrical & Electronics Engineering Lab | Core | 1 | Verification of KVL and KCL, Measurement of RLC circuit parameters, Characteristics of semiconductor devices, Rectifier and filter circuits, Op-Amp applications |
| 23ITT04 | Data Structures Lab | Core | 1 | Implementation of arrays and linked lists, Stack and Queue operations, Tree traversals, Graph algorithms (BFS, DFS), Sorting and Searching algorithms |
| 23CSO02 | Object Oriented Programming Lab | Core | 1 | C++ programming with classes and objects, Constructor and Destructor implementation, Inheritance and virtual functions, Polymorphism and operator overloading, Templates and STL |
| 23CSC02 | Engineering Workshop | Core | 1 | Carpentry and Fitting practices, Welding techniques, Foundry and Blacksmithy operations, Sheet Metal work, Introduction to Lathe machine operations |
| 23MN02 | NSS/NCC/Sports | Mandatory | 0 | Community Engagement Activities, Discipline and Patriotism, Physical Activity and Wellness, Leadership Development, Social Responsibility Initiatives |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23ESM05 | Probability & Statistics | Core | 3 | Basic Probability Theory, Random Variables and Distributions, Sampling Distributions, Hypothesis Testing, Correlation and Regression |
| 23ESC03 | Digital Logic Design | Core | 3 | Boolean Algebra and Logic Gates, Combinational Logic Circuits, Sequential Logic Circuits, Registers and Counters, Memory and Programmable Logic |
| 23ITT05 | Database Management Systems | Core | 3 | Introduction to DBMS and Data Models, Entity-Relationship Model, Relational Model and SQL, Normalization and Dependencies, Transaction Management and Concurrency Control |
| 23ITT06 | Operating Systems | Core | 3 | Operating System Structures and Functions, Process Management and Scheduling, Deadlocks and Synchronization, Memory Management, File Systems and I/O Management |
| 23ITT07 | Computer Networks | Core | 3 | Network Models (OSI, TCP/IP), Physical Layer and Data Link Layer, Network Layer Protocols (IP, Routing), Transport Layer Protocols (TCP, UDP), Application Layer Protocols (HTTP, DNS) |
| 23ECS01 | Business Economics & Financial Analysis | Core | 3 | Introduction to Managerial Economics, Demand and Supply Analysis, Production and Cost Analysis, Market Structures, Financial Accounting and Analysis |
| 23ESC04 | Digital Logic Design Lab | Core | 1 | Verification of Logic Gates, Design of Combinational Circuits (Adders, Decoders), Implementation of Flip-Flops, Design of Registers, Design of Counters |
| 23ITT08 | Database Management Systems Lab | Core | 1 | SQL DDL and DML commands, Advanced SQL queries (Joins, Subqueries), PL/SQL programming, Triggers and Stored Procedures, Views and Database connectivity |
| 23ITT09 | Operating Systems Lab | Core | 1 | Linux commands and Shell Scripting, Process management and system calls, CPU scheduling algorithms, Memory allocation strategies, Inter-process communication mechanisms |
| 23ITT10 | Computer Networks Lab | Core | 1 | Network configuration and commands, Socket programming (TCP/UDP), Packet capture and analysis (Wireshark), Network utilities (Ping, Traceroute), Implementation of network protocols |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23ESM06 | Discrete Mathematics | Core | 3 | Set Theory and Logic, Relations and Functions, Graph Theory, Trees and Combinatorics, Algebraic Structures |
| 23ITT11 | Software Engineering | Core | 3 | Software Development Life Cycle Models, Requirements Engineering, Software Design Principles, Software Testing Techniques, Software Project Management |
| 23ITT12 | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis and Asymptotic Notations, Divide and Conquer Algorithms, Greedy Algorithms, Dynamic Programming, Graph Algorithms and NP-Completeness |
| 23ITT13 | Web Technologies | Core | 3 | HTML5 and CSS3, JavaScript and DOM Manipulation, XML and AJAX, Server-Side Scripting (PHP/Node.js), Web Services (REST/SOAP) |
| 23HMC01 | Professional Ethics & Human Values | Core | 2 | Ethics in Engineering Profession, Human Values and Morality, Ethical Theories and Dilemmas, Corporate Social Responsibility, Environmental Ethics |
| 23ITPE01 | Cloud Computing (Professional Elective - I example) | Elective | 3 | Cloud Computing Concepts and Architecture, Service Models (IaaS, PaaS, SaaS), Deployment Models (Public, Private, Hybrid), Virtualization Technologies, Cloud Security and Data Privacy |
| 23ITT14 | Software Engineering Lab | Core | 1 | Requirement gathering and analysis, UML diagrams using tools (Rational Rose/StarUML), Design patterns implementation, Software testing techniques and tools, Version control systems (Git) |
| 23ITT15 | Design and Analysis of Algorithms Lab | Core | 1 | Implementation of sorting algorithms, Implementation of searching algorithms, Graph traversal algorithms (BFS, DFS), Greedy algorithms implementations, Dynamic programming problems |
| 23ITT16 | Web Technologies Lab | Core | 1 | HTML and CSS page design, JavaScript interactivity and forms, DOM manipulation, AJAX asynchronous requests, Introduction to server-side scripting |
| 23MN03 | Environmental Science | Mandatory | 0 | Ecosystems and Biodiversity, Environmental Pollution and Control, Natural Resources and their Management, Renewable Energy Sources, Environmental Legislation and Ethics |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23ITT17 | Compiler Design | Core | 3 | Phases of a Compiler, Lexical Analysis and Tokenization, Syntax Analysis (Parsing), Semantic Analysis and Type Checking, Intermediate Code Generation and Optimization |
| 23ITT18 | Machine Learning | Core | 3 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Model Evaluation and Selection, Introduction to Neural Networks |
| 23ITT19 | Artificial Intelligence | Core | 3 | Introduction to AI and Intelligent Agents, Problem Solving through Search, Knowledge Representation and Reasoning, Planning and Expert Systems, Introduction to Natural Language Processing |
| 23OE01 | Open Elective - I | Elective | 3 | Diverse topics from other engineering disciplines (e.g., Civil, Mechanical, ECE), Topics in Management, Humanities, or Sciences, Focus on interdisciplinary learning, Chosen based on student interest and availability, Examples include Project Management, Renewable Energy, Robotics |
| 23ITPE02 | Big Data Analytics (Professional Elective - II example) | Elective | 3 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), Data Storage and Processing in Big Data, Apache Spark for Data Analytics, Data Stream Processing |
| 23ITT20 | Machine Learning Lab | Core | 1 | Python for Machine Learning, Scikit-learn library, Implementation of supervised learning algorithms, Implementation of unsupervised learning algorithms, Model training and evaluation techniques |
| 23ITT21 | Artificial Intelligence Lab | Core | 1 | Prolog programming for AI, Implementation of search algorithms (BFS, DFS, A*), Constraint Satisfaction Problems, Knowledge representation techniques, Introduction to NLP tools |
| 23ITT22 | Compiler Design Lab | Core | 1 | Implementation of Lexical Analyzer using Lex/Flex, Implementation of Parser using YACC/Bison, Symbol Table Management, Intermediate Code Generation, Code Optimization techniques |
| 23ITT23 | Mini Project - I | Project | 2 | Project Idea Generation and Problem Definition, Requirement Analysis and Design, Implementation and Testing, Technical Report Writing, Project Presentation and Demonstration |
| 23MN04 | Indian Constitution / Essence of Indian Traditional Knowledge | Mandatory | 0 | Preamble and Fundamental Rights, Directive Principles and Fundamental Duties, Structure and Functions of Government, Traditional Knowledge Systems in India, Cultural Heritage and Values |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23ITT24 | Full Stack Development | Core | 3 | Frontend Development (HTML, CSS, JavaScript), Backend Development (Node.js/Python/Java), Database Integration (SQL/NoSQL), RESTful API Design and Implementation, Deployment and Version Control |
| 23ITT25 | Data Science | Core | 3 | Introduction to Data Science Workflow, Data Preprocessing and Cleaning, Exploratory Data Analysis, Statistical Inference and Hypothesis Testing, Predictive Modeling and Data Visualization |
| 23ITT26 | Mobile Application Development | Core | 3 | Mobile App Development Ecosystem (Android/iOS), UI/UX Design Principles for Mobile, Activity Lifecycle and Intents, Data Storage in Mobile Apps, Networking and API Integration |
| 23OE02 | Open Elective - II | Elective | 3 | Diverse topics from other engineering disciplines (e.g., Civil, Mechanical, ECE), Topics in Management, Humanities, or Sciences, Focus on interdisciplinary learning, Chosen based on student interest and availability, Examples include Entrepreneurship, Human Resource Management, Renewable Energy |
| 23ITPE03 | Deep Learning (Professional Elective - III example) | Elective | 3 | Fundamentals of Neural Networks, Feedforward Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Training and Regularization of Deep Models |
| 23ITT27 | Data Science Lab | Core | 1 | Python programming for Data Science (Pandas, NumPy), Data Cleaning and Preprocessing, Exploratory Data Analysis techniques, Data Visualization using Matplotlib and Seaborn, Introduction to statistical modeling |
| 23ITT28 | Mobile Application Development Lab | Core | 1 | Android Studio environment setup, Designing user interfaces with XML, Implementing various UI components, Working with local databases (SQLite), Integrating with external APIs |
| 23ITT29 | Full Stack Development Lab | Core | 1 | Frontend framework development (React/Angular), Backend framework development (Node.js/Django), Database integration and CRUD operations, Building and consuming RESTful APIs, User authentication and authorization |
| 23ITT30 | Mini Project - II | Project | 2 | Advanced Project Planning and Management, Detailed Design and Architecture, Implementation of Complex Features, Testing, Debugging and Quality Assurance, Presentation and Documentation of Project |
| 23ITT31 | Internship | Practical | 1 | Industry work experience, Application of theoretical knowledge to real-world problems, Development of professional and soft skills, Understanding corporate environment, Internship report writing |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23OE03 | Open Elective - III | Elective | 3 | Diverse topics from other engineering disciplines (e.g., Civil, Mechanical, ECE), Topics in Management, Humanities, or Sciences, Focus on interdisciplinary learning, Chosen based on student interest and availability, Examples include Supply Chain Management, Mechatronics, VLSI Design |
| 23ITPE04 | Natural Language Processing (Professional Elective - IV example) | Elective | 3 | Introduction to NLP and Text Preprocessing, Lexical and Syntactic Analysis, Semantic Analysis and Word Embeddings, Sequence Models for NLP (RNN, Transformers), Sentiment Analysis and Text Summarization |
| 23ITPE05 | Ethical Hacking (Professional Elective - V example) | Elective | 3 | Introduction to Ethical Hacking and Cyber Security, Footprinting and Reconnaissance, Scanning and Enumeration Techniques, System Hacking and Malware, Web Application Hacking and Network Attacks |
| 23OE04 | Open Elective - IV | Elective | 3 | Diverse topics from other engineering disciplines (e.g., Civil, Mechanical, ECE), Topics in Management, Humanities, or Sciences, Focus on interdisciplinary learning, Chosen based on student interest and availability, Examples include Smart Grids, Additive Manufacturing, Digital Marketing |
| 23ITT32 | Major Project Part-A | Project | 3 | Problem Identification and Literature Review, Requirement Specification and Analysis, System Design and Architecture, Initial Prototype Development, Project Planning and Documentation |
| 23ITT33 | Technical Seminar | Seminar | 1 | Researching contemporary technical topics, Preparation of technical presentation slides, Effective Public Speaking and Presentation Skills, Technical Report Writing, Answering questions and engaging in technical discussions |
| 23ITT34 | Industrial Visit | Practical | 0 | Exposure to real-world industrial environments, Understanding manufacturing processes or IT operations, Observing application of theoretical concepts, Interaction with industry professionals, Report on industrial visit |
| 23ITT35 | Skill Oriented Course - I | Mandatory | 0 | Advanced programming languages (e.g., Go, Rust), Specialized software tools (e.g., Docker, Kubernetes), Emerging technologies (e.g., AR/VR development), Specific industry skill sets, Hands-on project work |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23HMC02 | Managerial Economics & Organizational Behaviour | Core | 3 | Microeconomics and Macroeconomics Concepts, Business Cycles and Economic Policies, Principles of Management, Individual Behavior in Organizations, Group Dynamics and Leadership |
| 23ITPE06 | Internet of Things (Professional Elective - VI example) | Elective | 3 | Introduction to IoT Architecture, IoT Devices and Sensors, Communication Protocols in IoT, IoT Platforms and Cloud Integration, IoT Security and Applications |
| 23ITT36 | Major Project Part-B | Project | 6 | Advanced Implementation and Development, Thorough Testing and Quality Assurance, Integration of various modules, Performance Optimization and Refinement, Final Project Report and Viva-Voce |
| 23ITT37 | Skill Oriented Course - II | Mandatory | 0 | Advanced data structures and algorithms, Competitive programming strategies, Cloud platform certifications (AWS/Azure), Cybersecurity tools and practices, DevOps practices and automation |
| 23ITT38 | Comprehensive Viva-Voce | Viva | 3 | Overall knowledge of B.Tech Information Technology curriculum, Understanding of core subjects and electives, Problem-solving and analytical skills, Ability to articulate technical concepts, Readiness for professional challenges |
