Here’s a detailed view of VIT’s course curriculum, exams, teaching methods, and attendance rules based on my experience: Course Curriculum: - Difficulty Level: - The curriculum is designed to be challenging, especially in technical courses like CSE, IT, and ECE, but it's manageable if you stay on top of your studies. Concepts related to machine learning, data structures, algorithms, and software development require consistent effort. - For someone from a strong math or programming background, the initial semesters are quite manageable, but it gets tougher in the later stages with more practical applications and projects. - Do Students Fail?: - Yes, students do fail if they don't prepare well or miss assignments. However, it’s not common unless you completely ignore studies. The grading system offers chances to recover with internal assessments and practical marks. Good and Bad Aspects of the Course: - Good Aspects: 1. The course offers up-to-date topics like AI, Machine Learning, and Cloud Computing. 2. Practical knowledge is emphasized through projects and lab work. 3. The freedom to choose electives allows you to tailor your learning to your interests. - Bad Aspects: 1. Some subjects can be theory-heavy and less focused on practical applications. 2. The credit system sometimes forces students to take unnecessary subjects to complete their credits. 3. The strict attendance policies can become a burden, even if you're otherwise performing well academically. Exams: - Number of Exams: - There are typically three main exams each semester: 1. CAT 1 (Continuous Assessment Test) – usually after a month into the semester. 2. CAT 2 – around the middle of the semester. 3. FAT – at the end of the semester, covering the entire syllabus. In addition to these, there are frequent quizzes, assignments, and lab exams. Daily Classes & Timings: - Number of Classes: - On average, there are 4 to 6 classes a day, depending on your timetable and electives. - Class Timings: - Classes typically start at 8:00 AM and go on until 3:00 or 4:00 PM. Some days are lighter, ending by 12:00 or 1:00 PM. - Free Time: - After 4 PM, most students have free time, which they use for extracurriculars, self-study, or group projects. VIT has a strong culture of club activities and hackathons, which are great to participate in during this time. Teaching Methodology: - Teaching Style: - Faculty members usually follow a mix of theoretical lectures with practical lab sessions. - Some use interactive tools and coding challenges in class to make learning more engaging, while others stick to more traditional methods like PowerPoint presentations and assignments. - Admired Faculty: 1. Prof. Siva Rama Krishnan: I admire them for their engaging teaching style and real-world examples that make difficult concepts easy to grasp. 2. Prof. Swarna Priya R.M: Their support for projects and innovative ideas is highly appreciated. They give students the freedom to explore beyond the syllabus. - Not-so-admired Faculty: 1. Prof. Bimal : Their lectures are often monotonous and focus too much on theory, making it hard to apply the knowledge practically. 2. Prof. Gunasekaran and Prof. Gnanavignesh: Lack of interaction and rigid teaching style make it hard for students to ask questions or participate actively. Mandatory Attendance Rule: - Attendance Requirement: - Yes, VIT has a strict 75% minimum attendance requirement. Failing to meet this requirement can prevent you from sitting for the final exams. - Consequences of Low Attendance: - If you don't meet the attendance criteria, you may be denied the chance to take the final exams, and it’s not uncommon for students to get penalized this way. In some cases, re-tests or special permissions can be requested, but it’s not guaranteed. - I have seen students being penalized for low attendance, which forced them to repeat the semester or lose out on their preferred electives. In conclusion, VIT’s course structure is balanced but challenging. The mandatory attendance rules and rigorous exam schedule keep students on their toes, but the variety in teaching methodologies and the availability of electives make it a rewarding experience if managed well.
Here’s a detailed view of VIT’s course curriculum, exams, teaching methods, and attendance rules based on my experience: Course Curriculum: - Difficulty Level: - The curriculum is designed to be challenging, especially in technical courses like CSE, IT, and ECE, but it's manageable if you stay on top of your studies. Concepts related to machine learning, data structures, algorithms, and software development require consistent effort. - For someone from a strong math or programming background, the initial semesters are quite manageable, but it gets tougher in the later stages with more practical applications and projects. - Do Students Fail?: - Yes, students do fail if they don't prepare well or miss assignments. However, it’s not common unless you completely ignore studies. The grading system offers chances to recover with internal assessments and practical marks. Good and Bad Aspects of the Course: - Good Aspects: 1. The course offers up-to-date topics like AI, Machine Learning, and Cloud Computing. 2. Practical knowledge is emphasized through projects and lab work. 3. The freedom to choose electives allows you to tailor your learning to your interests. - Bad Aspects: 1. Some subjects can be theory-heavy and less focused on practical applications. 2. The credit system sometimes forces students to take unnecessary subjects to complete their credits. 3. The strict attendance policies can become a burden, even if you're otherwise performing well academically. Exams: - Number of Exams: - There are typically three main exams each semester: 1. CAT 1 (Continuous Assessment Test) – usually after a month into the semester. 2. CAT 2 – around the middle of the semester. 3. FAT – at the end of the semester, covering the entire syllabus. In addition to these, there are frequent quizzes, assignments, and lab exams. Daily Classes & Timings: - Number of Classes: - On average, there are 4 to 6 classes a day, depending on your timetable and electives. - Class Timings: - Classes typically start at 8:00 AM and go on until 3:00 or 4:00 PM. Some days are lighter, ending by 12:00 or 1:00 PM. - Free Time: - After 4 PM, most students have free time, which they use for extracurriculars, self-study, or group projects. VIT has a strong culture of club activities and hackathons, which are great to participate in during this time. Teaching Methodology: - Teaching Style: - Faculty members usually follow a mix of theoretical lectures with practical lab sessions. - Some use interactive tools and coding challenges in class to make learning more engaging, while others stick to more traditional methods like PowerPoint presentations and assignments. - Admired Faculty: 1. Prof. Siva Rama Krishnan: I admire them for their engaging teaching style and real-world examples that make difficult concepts easy to grasp. 2. Prof. Swarna Priya R.M: Their support for projects and innovative ideas is highly appreciated. They give students the freedom to explore beyond the syllabus. - Not-so-admired Faculty: 1. Prof. Bimal : Their lectures are often monotonous and focus too much on theory, making it hard to apply the knowledge practically. 2. Prof. Gunasekaran and Prof. Gnanavignesh: Lack of interaction and rigid teaching style make it hard for students to ask questions or participate actively. Mandatory Attendance Rule: - Attendance Requirement: - Yes, VIT has a strict 75% minimum attendance requirement. Failing to meet this requirement can prevent you from sitting for the final exams. - Consequences of Low Attendance: - If you don't meet the attendance criteria, you may be denied the chance to take the final exams, and it’s not uncommon for students to get penalized this way. In some cases, re-tests or special permissions can be requested, but it’s not guaranteed. - I have seen students being penalized for low attendance, which forced them to repeat the semester or lose out on their preferred electives. In conclusion, VIT’s course structure is balanced but challenging. The mandatory attendance rules and rigorous exam schedule keep students on their toes, but the variety in teaching methodologies and the availability of electives make it a rewarding experience if managed well.
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The faculty of engineering at Christ University is known for its BTech in information technology course. The course employs innovative teaching methods to impart theoretical knowledge and practical skills to students. You will delve into a wide range of students to learn about emerging technologies.
The faculty members are highly qualified with industry experience. To be eligible for this course, you need to score a minimum of 50% marks in class 12 with physics, and maths as the main subjects. The university also provides lateral entry to those with a 3-year diploma in IT or CSE.
Overall, the faculty of engineering at Christ University for BTech in information technology fosters an efficient learning environment for aspiring IT professionals by equipping them with the latest skills and knowledge.
Christ University has some of the best faculty. You can expect a student-to-faculty ratio to be around 40:1,80:1,20:1 or 16:1. It all depends on the course you are pursuing. Overall, the faculty are polite and friendly. They are well experienced in their domain. Most of them have a doctorate which gives them an edge. The faculty are aged around 30-60 years and have profound knowledge in their fields. The HODs are in higher positions with more experience. However, the faculty sometimes gives lectures in Kannada which becomes difficult to understand.
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