Academic Excellence

The Center for Research and Formation in Artificial Intelligence provides a Certification of focus on Artificial Intelligence and Machine Learning to selected Master of Science Programs in the School of Engineering at Universidad de los Andes. The Certification is reviewed every semester and is based on high standards for professors, contents, and ethical values, ensuring Academic Excellence in our Formation on Artificial Intelligence.

CERTIFIED PROGRAMS WITH AI FOCUS


MSc in Systems and Computing Engineering

SNIES: 1579

4 semesters

Bogota D.C.

Graduate
Description
MISIS seeks to train professionals in the use of state-of-the-art information and communication models, methodologies and technologies to design, implement and evaluate innovative solutions to complex problems in competitive global environments.

MSc in Electrical and Computing Engineering

SNIES: 1580

4 semesters

Bogota D.C.

Graduate
Description
Seeks the training of high-level professionals who can perform as leaders in professional activity, in the public or private sector, in the specific area of Electrical Engineering, emphasizing the area of power systems, markets and regulation, and electronics power.

MSc in Biomedical Engineering

SNIES: 102021

4 semesters

Bogota D.C.

Graduate
Description
Seeks to train students in the use of modern tools and methods of analysis, synthesis, and design, which enable them to carry out research and development projects, both in the industrial and scientific fields.

COURSES WITH AI FOCUS FROM AFFILIATED PROFESSORS


Reinforcement Learning

ISIS4223

4 credits

Available in: ISIS

Graduate
Description
In recent years Reinforcement Learning (RL) has resurfaced as one of the main drivers for AI, and in general decision making automation. RL is a powerful programming technique to enable long-term learning of software systems, being applicable to many different domains including robotics, software generation, testing, game playing, healthcare, and personalized assistants. In this course students will obtain theoretical and practical knowledge in underlying principles of RL, Markov decision processes, classic RL algorithms, and deep reinforcement learning. The course will also introduce current hot topics in advanced RL, such as transfer learning, multi objective learning, and explainability.
Professor(s)

Natural Language Processing

ISIS4222

4 credits

Available in: ISIS

Graduate
Description
Natural Language Processing is a discipline of Artificial Intelligence that deals with the formulation and investigation of computational mechanisms for communication between people and machines through the use of Natural Languages. The main objective of the course is to develop a deep understanding of the algorithms available for processing linguistic information and the underlying computational properties of natural languages.
Professor(s)

Machine Learning Techniques

MISIS4219

4 credits

Available in: ISIS

Active Graduate
Description
The course addresses the fundamentals and techniques of machine learning, with an emphasis on artificial neural networks and deep learning. It also deals with how to effectively use learning algorithms in a variety of domains, taking into account the nature of the problem and the available computing resources.
Professor(s)

Robotics

IELE3338

3 credits

Available in: IELE, IELE

Undergraduate
Description
Course in Industrial Automation that seeks to confront the student independently to a project in Robotics.
Professor(s)

Optimization

IELE3006

3 credits

Available in: IELE, IELE

Active Undergraduate
Description
Introductory course to optimization techniques that are usually required to be used when solving problems in various areas of engineering.
Professor(s)

Image Analysis

IBIO3470

3 credits

Available in: IBIO

Active Undergraduate
Description
Introduce the area of computer image processing and analysis as an entry point to the applications of these techniques in real multidisciplinary problems in the biomedical area.
Professor(s)

Statistics in Computational Biology

BCOM4104

4 credits

Available in: BCOM

Active Graduate
Description
Understand the main statistical techniques that, together with algorithmic, are used to solve different problems of both population genetics and molecular biology.
Professor(s)

Knowledge Management

MINE4103

4 credits

Available in: MINE

Active Graduate
Description
This course focuses on understanding what knowledge is, how it is, how it is used, and how it can be computerized.
Professor(s)

Semantic Web

ISIS4514

4 credits

Available in: ISIS

Active Graduate
Description
The objective of this course is to update the participants on the new applications and capabilities that the Semantic Web will make possible and the techniques that exist for their design.
Professor(s)

Machine Learning

IELE4014

4 credits

Available in: IELE

Active Graduate
Description
The objective of this course is to provide the student with the necessary tools for the application of Machine Learning techniques to the solution of practical problems.
Professor(s)

Stochastic Processes

IELE4010

4 credits

Available in: IELE

Active Graduate
Description
This course seeks to study basic and advanced concepts of probability and random variables using computational tools that allow solving problems that illustrate the concepts seen in class and introducing new topics and concepts that allow the student to know new areas of research.
Professor(s)

Intelligent Analysis of Signal & Systems

IELE4017

5 credits

Available in: IELE

Active Graduate
Description
This is a course with a practical approach to using tools to address problems in interdisciplinary areas, including automation, communications, Big Data, and biomedical engineering, which can generate new research topics.
Professor(s)

Advanced Machine Learning

IBIO4615

4 credits

Available in: IBIO

Active Graduate
Description
After completing this course, the student is expected to know the state-of-the-art main problems of machine learning and be familiar with the theory and the computational techniques of this area. The main objective of this course is to develop research projects of enough quality to be submitted to the main international conferences in this area.
Professor(s)

Computer Vision

IBIO4490

4 credits

Available in: IBIO

Graduate
Description
The objective of this course is to learn the theoretical and practical bases of Computer Vision, a field that focuses on the understanding of how computers gain high-level understanding from visual information.
Professor(s)
CONTACT

Addrs. Cra. 1 E No. 19A - 40. Mario Laserna Building - School of Engineering, Bogotá, Colombia, Zip 111711, Ph. +(571) 332 4327, 332 4328, 332 4329

Universidad de los Andes | Monitored by Mineducación
Recognition as University: Decree 1297 of May 30th, 1964.
Recognition as legal entity: Resolution 28 of February 23, 1949 Minjusticia.

© Universidad de los Andes. All rights reserved.