CS/IT 422 Data Engineering CS/IT 423 Elective – III (A) Real-Time Systems (B) Grid Computing (C) Wireless Networks (D) Biometrics Network (E) Management Systems CS/IT 424 Elective – IV Advanced Computer (A) Architecture Natural Language (B) Processing (C) Information Retrieval (D) Multimedia Systems Software Testing (E) Methodologies CS/IT 461 Project Work CS/IT 462 Data Engineering Lab MATHEMATICS – I (Common for all branches) CS111/ MA01 Lectures : 4 Periods/Week, Tutorial: 1 Continuous Assessment : 40 Final Exam : 3 hours Final Exam Marks : 60 Prerequisites: Elementary differential and integral calculus, Elementary Matrix algebra. Course Objectives: Upon completion of this course, students should be able to: Compute the rank and inverse of a matrix. Solve the system of the algebraic equations. Verify whether the given set of vectors form a vector space or not. Determine the dimension and a vector space. basis of Compute Eigen values and Eigen vectors of a given matrix. Understand the geometrical interpretation of mean value theorems. Compute the extreme values of a given function in two variables.
CS/IT 422 Data Engineering CS/IT 423 Elective – III (A) Real-Time Systems (B) Grid Computing (C) Wireless Networks (D) Biometrics (E) Network Management Systems CS/IT 424 Elective – IV (A) Advanced Computer Architecture (B) Natural Language Processing (C) Information Retrieval (D) Multimedia Systems (E) Software Testing Methodologies CS/IT 461 Project Work CS/IT 462 Data Engineering Lab MATHEMATICS – I (Common for all branches) CS111/ MA01 Lectures : 4 Periods/Week, Tutorial: 1 Continuous Assessment : 40 Final Exam : 3 hours Final Exam Marks : 60 Prerequisites: Elementary differential and integral calculus, Elementary Matrix algebra. Course Objectives: Upon completion of this course, students should be able to: Compute the rank and inverse of a matrix. Solve the system of the algebraic equations. Verify whether the given set of vectors form a vector space or not. Determine the dimension and basis of a vector space. Compute Eigen values and Eigen vectors of a given matrix. Understand the geometrical interpretation of mean value theorems. Compute the extreme values of a given function in two variables.
Syllabus%20with%20PEO%27s%20NEW.docx