Course Details
Certificate Course in Animation, Motion Graphics
About the Course
The Animation and Motion Graphics course offers a dynamic exploration into the world of visual storytelling, combining creativity with technical skills to bring ideas to life. Students will learn the fundamentals of animation principles, visual design, and motion theory, while gaining hands-on experience with industry-standard tools such as Adobe After Effects, etc. The course emphasizes both 2D and 3D animation techniques, preparing learners to create compelling motion graphics for film, advertising, digital media, and beyond. Whether you're aiming to craft engaging title sequences, animated infographics, or immersive brand content, this course provides the foundation to turn static visuals into powerful, moving stories.
SOFTWARE COVERED
1. Moho 2. Adobe After Effects 3. Autodesk 3DS Max
COURSE OBJECTIVES
• To create visually compelling motion graphics and animations for digital platforms.
• To develop hands-on expertise in industry-standard software such as Adobe After Effects, Moho, and 3DS Max.
• To integrate typography, visual effects, and sound design into motion graphic projects.
• To adapt and optimize motion graphics for multiple screen sizes and digital formats.
• To demonstrate creativity, aesthetic sense, and professional-quality output.
• To collaborate effectively in a creative production workflow environment.
• To conceptualize and storyboard motion graphic projects aligned with branding and project goals.
| Days of Week | Class Timing | Location |
|
Weekend or Weekdays |
Will be updated soon. |
OLDC, Second Floor, ARC Building, University of Delhi,
Opposite S.G.T.B. Khalsa College,
Delhi-110007
|
|
Commencement of Classes Next batch is scheduled to begin in July, 2026. |
Admission Open The batch will be held exclusively on weekdays. Kindly be advised that the days and times for any batch will be decided only by the center. |
Assessment Scheme for Certification
The following evaluation criteria will be applied to assess student performance in the course. The total marks allotted are 100, distributed across four key components:
- Assignment 1 (2 D Motion Graphics) =25 Marks (A minimum score of 9 marks is required to qualify for this section.)
- Assignment 2 (3 D Motion Graphics) = 25 Marks (A minimum score of 9 marks is required to qualify for this section.)
- Character Animation = 25 Marks (A minimum score of 9 marks is required to qualify for this section.)
- Final Test MCQ = 25 Marks (A minimum score of 8 marks is required to qualify for this section.)
A multiple-choice examination to assess theoretical understanding of the course content.
Total: 100 Marks (minimum passings marks are 35 to qualify overall.)
*Note: An attendance of above 80% is mandatory for students.
Certification Eligibility
Candidates will be eligible to receive the course certificate only upon fulfilling the minimum attendance criteria and completing all assessment components.
Grading Scale
|
Marks Range |
Grade |
|---|---|
|
35 – 45 |
Satisfactory |
|
46 – 55 |
Good |
|
56 – 65 |
Very Good |
|
66 – 90 |
Excellent |
|
91 – 100 |
Outstanding |
12th pass
| Marks Range | Grade |
|---|---|
| 36-45 | Satisfactory |
| 46-55 | Good |
| 56-65 | Very Good |
| 66-80 | Excellent |
| 81-100 | Outstanding |
- Open to all, including University of Delhi students, with a minimum 12th pass from any recognized board.
- Admission is first-come, first-served, subject to seat availability.
- No refund once the fee is paid.
- The course schedule may vary based on enrollments.
- All course-related decisions are reserved by the Centre for Innovation and Skill-Based Courses (CISBC), OLDC.
• All rights related to skill courses structure and time-table are reserved by the Centre for Innovation and Skill Based Courses(CISBC), OLDC.
• Schedule of every skill based course being offered is subject to the number of enrollments per course.
Trainers
Dr. Anjali Mehta
Professor, Department of Computer
Dr. Mehta specializes in artificial intelligence and machine learning. Her current research focuses on natural language processing and its applications in education technology.
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