CHRIST CUx

Skills

Our curriculum matches modern standard practices to provide exceptional training milestones.

Learning Outcomes

Our curriculum matches modern standard practices to provide exceptional training milestones.

Algorithm Foundations

Understand the fundamental principles of algorithm design and develop structured approaches for solving computational problems efficiently.

CORE KNOWLEDGE

Algorithm Design Techniques

Learn systematic algorithm design techniques to create efficient, scalable, and optimized solutions for a wide range of computational challenges.

PROBLEM SOLVING

Asymptotic Analysis

Apply asymptotic notation to evaluate algorithm efficiency by analyzing best-case, average-case, and worst-case computational performance.

PERFORMANCE ANALYSIS

Control Structures and Complexity

Analyze algorithms using control structures and complexity measures to compare performance, optimize execution, and improve resource utilization.

COMPUTATIONAL THINKING

Solving Recurrence Relations

Solve recurrence relations using substitution, iteration, and the Master Theorem to analyze recursive algorithm performance effectively.

MATHEMATICAL ANALYSIS

Efficient Algorithm Evaluation

Evaluate algorithmic solutions by combining analytical techniques, complexity analysis, and optimization strategies for real-world applications.

INDUSTRY READINESS

ELIGIBILITY CRITERIA

2nd Year UG/PG/PhD/Alumni/Industry Expert

Course Instructor

Expert guidance from acclaimed industry professional leaders.

Dr Smrity Prasad

Assistant Professor

Dr. Smrity Prasad is an Assistant Professor of Statistics and Data Science at Christ University, Bengaluru, with 17 years of experience. Holding a PhD in Image Processing, she teaches machine learning, databases, and AI. She designs IT curricula, authored/edited books on machine learning, and holds a Computer Society of India lifetime membership.

Program Overview

Academic Curriculum

A meticulous, guided learning path engineered to transform your cloud engineering expertise.

Module 1

Algorithms

Module 2

Growth of Functions

Module 3

Recurrences

Module 4

Analysis of Simple Algorithms

Module 5

Analysis of Divide-and-conquer algorithms

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Sania Fathima

MBA

“The course provided useful knowledge and insights related to the subject. The content was informative and relevant, and it helped me gain a better understanding of the concepts covered.”

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Kaushik Vallioor Sankaran

MBA

“I thoroughly enjoyed the Micro Credential course. It was direct and very informative.”

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Adrija Roy

MBA

“The modules were structured in a simple and accessible way, making the concepts easy to understand even without prior knowledge of the topic. The workbooks provided valuable hands-on practice, and the course was an enriching learning experience that helped me build practical skills and confidence.”

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Xavier Amith J

MCA

“The hands-on demonstrations and coding sessions were my favourite part. Overall, it was a valuable learning experience that helped me learn beyond the classroom, explore a new area, and become more curious about what AI can do.”

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M A Lekshmi Narayanan

BCom

“It was interesting to learn about a new topic which was predominant in the world. The videos were short and kept me engaged throughout the course.”

Asymptotic Unleashed : Algorithm Analysis

Overview

Credentials and Certification

Students exploring industry-relevent skills

Professionals planning to upskill and reskill

Faculty building digital deployment literacy

Course Menu

COURSE DELIVERY