The Bachelor of Engineering (BE) Computer Science And Engineering syllabus at Global Academy of Technology (GAT), Bengaluru is designed to provide overall knowledge to the students with a strong foundation. Bachelor of Engineering (BE) Computer Science And Engineering faculty at Global Academy of Technology (GAT) specially focus on in-depth learning to relevant subjects. At first semester syllabus of Bachelor of Engineering (BE) Computer Science And Engineering at Global Academy of Technology (GAT), students learn the basics of programme. A strong foundation is very important for comprehensive learning. Bachelor of Engineering (BE) Computer Science And Engineering syllabus at Global Academy of Technology (GAT), Bengaluru maintains a balance between theoretical knowledge and practical knowledge.
Bachelor of Engineering (BE) Computer Science And Engineering first year students at Global Academy of Technology (GAT) are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. Global Academy of Technology (GAT), Bengaluru also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Bachelor of Engineering (BE) Computer Science And Engineering syllabus at Global Academy of Technology (GAT), Bengaluru is also frequently updated to give industry relevant training and knowledge to students. Global Academy of Technology (GAT) strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at Global Academy of Technology (GAT) enable Bachelor of Engineering (BE) Computer Science And Engineering students to apply knowledge and skills in a controlled environment and get required experience.
According to syllabus of Bachelor of Engineering (BE) Computer Science And Engineering progress, students learn advanced topics and complex concepts. The Bachelor of Engineering (BE) Computer Science And Engineering curriculum at Global Academy of Technology (GAT), Bengaluru mainly focuses on analytical and critical thinking. As the Bachelor of Engineering (BE) Computer Science And Engineering course unfolds, students develop several important skills that increases their employability. As per syllabus of Bachelor of Engineering (BE) Computer Science And Engineering at Global Academy of Technology (GAT) also includes real-life projects and internship programs. It helps students critical thinking and gives them real-world experience.
Bachelor of Engineering (BE) Computer Science And Engineering curriculum at Global Academy of Technology (GAT) includes group discussions, guest lectures, case studies, and skill development workshops to enhance the learning experience. The Bachelor of Engineering (BE) Computer Science And Engineering syllabus at Global Academy of Technology (GAT) aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.
Additional curriculum at Global Academy of Technology (GAT)
Note: Given below syllabus is based on the available web sources. Please verify with the Global Academy of Technology (GAT), Bengaluru for latest Bachelor of Engineering (BE) Computer Science And Engineering curriculum.
S.No | Subjects |
1 | Engineering Physics |
2 | Engineering Chemistry |
3 | Computer Systems and Programming |
4 | Environmental Studies and Disaster Management |
Year 2nd OR 3rd and 4th Semester Syllabus of Bachelor of Engineering (BE) Computer Science And Engineering
S.No | Subjects |
1 | Electronic Circuits |
2 | Computer Organization and Architecture |
3 | Object-Oriented Programming |
4 | Data Structures |
5 | System Software |
Year 3rd OR 5th and 6th Semester Syllabus of Bachelor of Engineering (BE) Computer Science And Engineering
S.No | Subjects |
1 | Software Engineering |
2 | Internal Combustion
Engine |
3 | Microprocessor and Interfaces |
4 | Design and Analysis of Algorithms |
5 | Logical and Fundamental Programming |
Year 4th OR 7th and 8th Semester Syllabus of Bachelor of Engineering (BE) Computer Science And Engineering
S.No | Subjects |
1 | Data Mining and Ware Housing |
2 | Artificial Intelligence |
3 | Natural Language Processing |
4 | Service-Oriented Architectures |
5 | Natural Language Processing |
6 | Project |
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