Technical Courses
CS 409
×

CS 409 - The Art of Web Programming

Client- and server-side technologies that enable modern Web applications. Topics include the building blocks of the Web (browsers, HTML, CSS, JavaScript) and data exchange (HTTP, AJAX, JSON, REST). Assignments expose students to full-stack web development, and JavaScript frameworks that scaffold MVC architectures and event-driven, asynchronous programming. The course culminates in a final project, where students work in teams to design and develop an original, database-backed web application.

CS 425
×

CS 425 - Distributed Systems

Protocols, specification techniques, global states and their determination, reliable broadcast, transactions and commitment, security, and real-time systems.

CS 425
×

CS 411 - Database Systems

Examination of the logical organization of databases: the entity-relationship model; the hierarchical, network, and relational data models and their languages. Functional dependencies and normal forms. Design, implementation, and optimization of query languages; security and integrity; concurrency control, and distributed database systems.

CS 425
×

CS 438 - Communication Networks

Layered architectures and the OSI Reference Model; design issues and protocols in the transport, network, and data link layers; architectures and control algorithms of local-area, point-to-point, and satellite networks; standards in networks access protocols; models of network interconnection; overview of networking and communication software.

CS 425
×

CS 437 - Internet of Things

Topics of networked embedded computing technology, known as the Internet of Things, in application, distributed, human-centric, or social contexts. The tight coupling between people, networking protocols, computing elements, and physical things in IoT systems presents unique challenges for data collection, processing in constrained computation and communication environments. Introduces general principles of IoT systems and protocol, offers broad foundations for IoT services, and allows specialization to pursue an in-depth understanding of selected IoT aspects or subtopics.

CS 409
×

CS 446 - Machine Learning

Some description for Course 1...

CS 425
×

CS 440 - Artificial Intelligence

Major topics in and directions of research in artificial intelligence: basic problem solving techniques, knowledge representation and computer inference, machine learning, natural language understanding, computer vision, robotics, and societal impacts.

CS 425
×

CS 546 - Advanced Topics in NLP

Advanced topics in natural language processing, ranging from general techniques such as deep learning for NLP to specific topics such as information extraction, knowledge acquisition, dialogue systems, language grounding, and natural language generation. Review of classic as well as state-of-the-art techniques and remaining challenges, and exploration of recent proposals for meeting these challenges. Intended for graduate students doing research in natural language processing.

CS 425
×

CS 545 - Signal Processing

Fundamentals of machine learning and signal processing as they pertain to the development of machines that can understand complex real-world signals, such as speech, images, movies, music, biological and mechanical readings, etc. Hands-on examples of how to decompose, analyze, classify, detect and consolidate signals, and examine various commonplace operations such as finding faces from camera feeds, organizing personal music collections, designing speech dialog systems and understanding movie content.

CS 425
×

CS 421 - Prgramming Languages & Compilers

Structure of programming languages and their implementation. Basic language design principles; abstract data types; functional languages; type systems; object-oriented languages. Basics of lexing, parsing, syntax-directed translation, semantic analysis, and code generation.

CS 409
×

CS 477 - Formal Methods for Software Development

Mathematical models, languages, and methods for software specification, development, and verification.

CS 425
×

STAT 430 - Deep Learning

Deep Learning methods are rapidly becoming ingrained within everyday life. These methods strive to reveal patterns within the data. This course provides a foundation for developing and applying deep learning models through a study of its theory and application using a leading modeling framework. This course will primarily use Python. Students should understand key programming tenets like: loops, if-else statements, functions, and so on. This course will utilize a blended learning environment that necessitates a more hands-on lab aspect with short video segments introducing the idea. Prerequisite: Completion or concurrent enrollment of STAT 432.

CS 425
×

STAT 426 - Statistical Modeling

This is a continuation in the study of advanced statistical modeling techniques with a focus on categorical data. The course explores logistic regression, generalized linear models, goodness-of-fit, link functions, count regression, log-linear models, probability models for contingency tables, and ordinal response models. Statistical computing is an integral part of the course.

CS 425
×

Math 415 - Linear Algebra

Introductory course emphasizing techniques of linear algebra with applications to engineering; topics include matrix operations, determinants, linear equations, vector spaces, linear transformations, eigenvalues, and eigenvectors, inner products and norms, orthogonality, equilibrium, and linear dynamical systems.

CS 425
×

STAT 440 - Data Management

The critical elements of data storage, data cleaning, and data extractions that ultimately lead to data analysis are presented. Includes basic theory and methods of databases, auditing and querying databases, as well as data management and data preparation using standard large-scale statistical software. Students will gain competency in the skills required in storing, cleaning, and managing data, all of which are required prior to data analysis.

My Projects

Distributed Machine Learning Scheduler
Icon 1
Face Mask Detection
Icon 1
Historical Stock Price Analysis
Icon 1
Rubik's Cube Solver
Icon 1
Long-Short Term Memory HFT Strategy
Icon 1
Global Flights Solver
Icon 1
Program Garbage Collector
Icon 1
UIUC Course Lookup Engine
Icon 1
lc-gg.com
Icon 1

Hobbies

Icon 1

Cheered for Germany in 2014 World Cup, picked up a soccer ball, and pledged allegiance to Bayern München. Still waiting for them to scout me!

Icon 2

Started with Monopoly, Pokers, and chess, now strategizing global domination one board game at a time. Still waiting for my invite to the World Championships!

Icon 3

Started with one push-up after dropping a cookie. Now, I lift weights and occasionally cookies. Still waiting for my superhero cape!

Icon 1