ATME College of Engineering

Resources

Semester-wise course materials, lesson plans, notes / lab manuals and presentation slides for Computer Science Engineering – Artificial Intelligence & Machine Learning. For pedagogy and classroom methods adopted by faculty, refer to the Innovative Teaching Learning Methods page.
Academic Year 2026-27 (3rd Semester)7 courses
Sl.No.Course TitleCourse CodeCourse ModuleLesson PlanNotes / Lab ManualPPT
01OOP With JAVABCS302
02OPERATING SYSTEMSBCS304
03DATA STRUCTURES & APPLICATIONSBCS305
04PROJECT MANAGEMENT WITH GITBCSL307A
05Probability, Distributions and StatisticsBMATCS301
06DSA-LABORATORYBCSL306
07Digital Design and Computer OrganizationBCS303
Academic Year 2026-27 (5th Semester)6 courses
Sl.No.Course TitleCourse CodeCourse ModuleLesson PlanNotes / Lab ManualPPT
01Information retrievalBAI515B
02COMPUTER NETWORKSBCS502
03DV LABBAIL504
04RM & IPRBRMK557
05SEPMBCS501
06Theory of ComputationBCS503
Academic Year 2026-27 (7th Semester)7 courses
Sl.No.Course TitleCourse CodeCourse ModuleLesson PlanNotes / Lab ManualPPT
01Deep LearningBAI701
02Machine Learning – IIBAI702
03Cryptography & Network SecurityBCS703
04Big Data AnalyticsBCS714D
05Road Safety EngineeringBCV755A
06Energy Conservation and AuditBEE755B
07Major Project Phase-IIBCI786————
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