International Summer School
The International Summer School is a space where students have the opportunity to access a wide range of courses on different engineering disciplines. Within this framework, participants benefit from diverse and innovative methodologies, as well as the opportunity to learn about the latest trends and advances. The courses are given by professors or representatives of prestigious institutions, most of them international.
The following are the courses offered for the International Summer School 2022, which will be held in classroom or virtual mode. Please note that spaces are limited and that each course has 4 academic credits. Course dates may be subject to change.
If you are an undergraduate or graduate student at Uniandes, please note that the only registration days are May 31 and June 1, 2022, through the Banner system.
Registrations
Course offerings 2022
Department of Biomedical Engineering
DESIGN INSPIRED BY NATURE
[DEL 5 AL 22 DE JULIO DE 2022]
Classroom course
Invited professors:
Michael Smith - Universidad de Costa Rica (Costa Rica)
Maria Mena Deferme - Universidad Veritas (Costa Rica)
Professor Uniandes: Natasha Bloch Morel
The student will discover biological strategies to learn and emulate natural forms of mentor species in the forest undergrowth, ultimately seeking biological design solutions in an era of decarbonization. The course consists of 2 types of classes: seminars and workshop work. Methodology: The course covers the fundamental tools of biomimicry through lectures, seminars and a project workshop. It is a 3-week learning experience through working with specific tools from nature. Participants will develop relationships with other course members and the natural environment in which they choose to work. The course is introduced by specialized talks on biomimicry. This is followed by a workshop assignment in which teams are formed to select a natural location to illustrate the theoretical concepts presented in class in order to expand knowledge and develop a design proposal. Organisms will be sought as mentors to understand forms, processes and ecosystems. The design process is developed with inter-team workshop sessions and reviews, from which selected active design principles from nature are explored by supporting design, biology and technology to develop sustainable design strategies and solutions to the challenge of decarbonization. The course ends with a final presentation to peers, highlighting the integration of the learning program into an individualized toolkit for practice, strengthening and formalizing the participant's relationship with their professional area through group feedback, exercises, conversations and reflection.
BIOMEDICAL ENGINEERING DEPARTMENT
DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING
DEPARTMENT OF MECHANICAL ENGINEERING
DESIGN OF WEARABLE ROBOTS
[FROM JUNE 10 TO 17, 2022].
Classroom course
Visiting Professor: Cara González-Welker
University of origin: University of Colorado Boulder (Estados Unidos)
Professor Uniandes: Christian Cifuentes (IBIO), Luis Felipe Giraldo (IELE) y Carlos Francisco Rodríguez (IMEC)
This interdisciplinary course will cover different aspects involved in assistive devices for human movement. Specifically, the course will provide an overview of the human musculoskeletal system, experimental methods to track human motion, commonly used device sensors, and control strategies. Students will have the chance to apply concepts learned in the class through OpenSim, an open-source musculoskeletal modeling software, and will work in groups to investigate a specific topic of their choice further in depth to present to the class.
BIOMEDICAL ENGINEERING DEPARTMENT
DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING
DESIGN AND APPLICATION OF NANOBIOSENSORS
[JULY 18-26, 2022]
Classroom course
Visiting Professor: Arben Merkoçi
University of origin: Universitat Autónoma de Barcelona (España)
Professors Uniandes: Mario Valderrama (IBIO) y Johann Osma (IELE)
The course focuses on the design of biosensors, mainly based on nanomaterials and bionanomaterials, and their main applications in various sectors including healthcare, wastewater treatment and energy. Prof. Merkoçi is co-editor-in-chief of Biosensors and Bioelectronics, the leading international journal dedicated to the research, design development and application of biosensors and bioelectronics. Prof. Merkoçi has published 319 papers (H index / citations: Google Scholar 84 / 23977; WOS 70 / 17682) and is involved in teaching PhD courses in the field of nanomaterial-based biosensors at several international centers.
DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
CURRENT TOPICS OF WATER QUALITY IN WATER DISTRIBUTION SYSTEMS. PRESENT AND FUTURE
[FROM JUNE 10 TO 22, 2022].
Classroom course
Visiting Professor: Dominic Boccelli
University of origin: University of Arizona (Estados Unidos)
Professor Uniandes: Juan Guillermo Saldarriaga
The overall objective of the course is to provide attendees with the knowledge and background necessary to perform water quality modeling within drinking water distribution systems. The course will build from a foundation associated with network hydraulics, particularly the components with greater impact on water quality modeling (e.g., consumer demands, tank dynamics).
The water quality topics will begin with an overview of basic reaction mechanisms to better illustrate the detailed reaction dynamics that occur within the bulk fluid and at the pipe wall. Typical assumptions and simplifications for distribution system water quality modeling will be presented with an important emphasis on the associated benefits and limitations. More specific water quality modeling approaches will be presented and explored that include, but are not limited to:
1. Conservative tracers, for assessing transport and source blending within a network
2. Water age, for use as a water quality surrogate
3. Disinfectant dynamics and by-product formation.
With respect to implementation and analysis, emphasis will be placed on using the EPANET modeling framework. Attention will be given to both the details of the EPANET water quality user interface, and the specific use of EPANET for water quality simulations and analysis.
Department of Civil and Environmental Engineering
MANAGEMENT OF TECHNOLOGICAL AND DIGITAL TRANSFORMATION IN THE CONSTRUCTION INDUSTRY
[FROM JULY 11 TO 16, 2022]
Classroom course
Visiting Professor: Salvador García
University of origin: Instituto Tecnológico y de Estudios Superiores de Monterrey (México)
Professor Uniandes: Jose Guevara
The course addresses and develops the following topics:
1.Change management
2.Innovation/Creativity and collaboration for change management.
3.Value creation in the transformation of construction
4.Technological evolution in construction
5.Efficiency and digitalization of construction.
6. Model for strategic change planning in construction companies.
DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
LEAN CONSTRUCTION 4.0: TRANSFORMING CONSTRUCTION MANAGEMENT
[FROM JUNE 6 TO 14, 2022].
Virtual course
Visiting Professor: Vicente González
University of origin: The University of Auckland (Nueva Zelanda)
Professor Uniandes: Jose Guevara
Digital Lean Construction represents the synergy between Lean Construction and digital and intelligent technologies, and goes far beyond mere integration with BIM, and how this concept will change the way we design, manage and operate capital projects in this modern era full of digital change. Researchers and practitioners around the world have tentatively touched on different aspects of Lean Construction and digital and smart technologies. The objective of this course is to channel these efforts and propose a holistic view where Lean Construction principles can be appropriately integrated with today's existing digital and smart technologies, strategically design practical implementation avenues in the AIC business for this integration, and reflect on the digital and lean transformation of an AIC organization.
This course will discuss the principles and concepts associated with Lean Construction, some of its most popular methodologies and management approach; digital and smart technologies such as BIM, virtual and augmented reality, serious games, computer simulation and modeling, artificial intelligence, internet of things (IoT), digital twins, among others; integration of Lean Construction with different digital technologies (principles); implementation approaches; and practical examples.
DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
Soil Dynamics
[FROM JULY 11 TO 22, 2022].
Classroom course
Visiting Professor: Fernando López-Caballero
University of origin: Paris-Saclay University (Francia)
Professor Uniandes: Bernardo Caicedo
The soil dynamics course aims to expose the main methodologies for the analysis of soil behavior under seismic movements or subjected to machinery vibration. For this purpose the course will expose topics such as:
-Dynamic behavior of soils
-Analysis of the propagation of waves in soils
-Soil evaluation
-Seismic wave amplification
-Soil-structure interaction
DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
LIFE CYCLE ASSESSMENT FOR SUSTAINABLE ENGINEERING
[FROM 18 TO 28 JULY 2022].
Classroom course
Visiting Professor: Alissa Kendall
University of origin: University of California, Davis (Estados Unidos)
Professor Uniandes: Álvaro Rodríguez Valencia
Usually, engineering evaluations of any kind, whether of a process, a product, a service, a technology or an infrastructure, are carried out during a limited period of use or operation. However, this is an incomplete vision since it does not consider what happens before and after that period.
Life cycle analysis (LCA) studies products or services during all stages of their existence, from the extraction of raw materials to their disposal and end of life. LCA provides a systemic approach, where all inputs and outputs are covered, in order to make the most complete assessments of energy flows and environmental emissions.
In today's world, where sustainability is a fundamental part of development, LCA methodologies become valuable decision support tools for policy making and industry.
This course offers students the possibility to learn LCA-based assessment and design methods. It is an ideal course for students of any engineering, especially environmental, electronic, civil, electrical and industrial engineering. Economics, management and science students are also welcome.
DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
WATER QUALITY MODELING OF RIVERS AND RESERVOIRS
[FROM JUNE 13 TO 22, 2022].
Classroom course
Visiting Professor: Steven Chapra
University of origin: Tufts University (Estados Unidos)
Professor Uniandes: Luis Alejandro Camacho
Students will become familiar with hydraulic, hydrodynamic and water quality data collection protocols in rivers and reservoirs, and with the concepts of surface water quality processes and models used in sanitation decision making and in the operation, management and design of these hydrosystems. Specifically, they will become familiar with the conceptual basis and numerical methods of the QUAL2Kw and LAKE2K models developed by Professor Steven Chapra and EPA's WASP version 8.0 model, and will develop computational laboratories using data from real case studies. At the end of the course, students will be able to implement, calibrate and apply river and reservoir water quality modeling tools to support decision making in the management, operation and design of water and wastewater infrastructure.
DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING
Electromobility
[JULY 25-29, 2022]
Classroom course
Visiting professors:
Williams Calderón - Universidad de Chile (Chile)
Ignacio Polanco - École Politechnique Fédérale de Lausanne (Suiza)
Professor Uniandes: Guillermo Jiménez
This course seeks to effectively engage students/professionals seeking to improve their knowledge of a cutting-edge technology, such as electromobility. In particular, it will train skills in the processes of design, procurement, maintenance and operation of electric vehicles, from the light fleet to public transport. To this end, the course will address technological challenges in their design and components, as well as aspects associated with fleet management and public policy.
DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING
DEPARTMENT OF INDUSTRIAL ENGINEERING
Sustainable innovation
[FROM JUNE 13 TO 24, 2022].
course blended
Visiting professors:
Jorge Lozoya - Instituto Tecnológico y de Estudios Superiores de Monterrey (México)
Irene Bengo - Politecnico di Milano (Italia)
Professors Uniandes: Fernando Jiménez (IELE) y Catalina Ramírez (IIND)
It is a course offered by INGENIEROS SIN FRONTERAS that seeks to create spaces to develop innovative sustainable projects in an urban community.
DEPARTMENT OF BIOMEDICAL ENGINEERING
DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING
DEPARTMENT OF MECHANICAL ENGINEERING
DESIGN OF WEARABLE ROBOTS
[FROM JUNE 10 TO 17, 2022].
Classroom course
Visiting Professor: Cara González-Welker
University of origin: University of Colorado Boulder (Estados Unidos)
Professors Uniandes: Christian Cifuentes (IBIO), Luis Felipe Giraldo (IELE) y Carlos Francisco Rodríguez (IMEC)
This interdisciplinary course will cover different aspects involved in assistive devices for human movement. Specifically, the course will provide an overview of the human musculoskeletal system, experimental methods to track human motion, commonly used device sensors, and control strategies. Students will have the chance to apply concepts learned in the class through OpenSim, an open-source musculoskeletal modeling software, and will work in groups to investigate a specific topic of their choice further in depth to present to the class.
DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING
DEPARTMENT OF INDUSTRIAL ENGINEERING
DEPARTMENT OF SYSTEMS AND COMPUTER ENGINEERING
MASTERING MACHINE LEARNING, TINY AND SIMPLE
[JUNE 28 TO JULY 2, 2022].
Classroom course
Visiting professors:
Elkin García - Synaptics (Estados Unidos)
Rafael Martínez - Harvard University (Estados Unidos)
Professors Uniandes: Fredy Segura, Luis Felipe Giraldo y Fernando Lozano (IELE), Juan Fernando Pérez (IIND) y Valerie Gauthier (DISC)
Machine Learning (ML) has gained in recent years great importance in industry and academia in modeling, automation, prediction and decision making processes mainly due to three factors: the increasing availability of data and the variety of available sensors; the increase in processing capacity; and the reduction of size and costs in embedded systems with internet access in IoT ecosystems. With these three aspects in mind, this course focuses on explaining the theoretical and practical fundamentals that allow the integration of the most recent and widely used models in the industry, such as Deep Neural Networks (DNN) and Support Vector Machines (SVMs), in embedded systems, which are the basis of emerging technologies such as tinyML and Edge AI. This course involves theoretical lectures and hands-on lab workshops where students will have the opportunity to apply the acquired knowledge.
DEPARTMENT OF BIOMEDICAL ENGINEERING
DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING
DESIGN AND APPLICATION OF NANOBIOSENSORS
[JULY 18-26, 2022]
Classroom course
Visiting Professor: Arben Merkoçi
University of origin: Universitat Autónoma de Barcelona (España)
Uniandes Professors: Mario Valderrama (IBIO) y Johann Osma (IELE)
The course focuses on the design of biosensors, mainly based on nanomaterials and bionanomaterials, and their main applications in various sectors including healthcare, wastewater treatment and energy. Prof. Merkoçi is co-editor-in-chief of Biosensors and Bioelectronics, the leading international journal dedicated to the research, design development and application of biosensors and bioelectronics. Prof. Merkoçi has published 319 papers (H index / citations: Google Scholar 84 / 23977; WOS 70 / 17682) and is involved in teaching PhD courses in the field of nanomaterial-based biosensors at several international centers.
Department of Industrial Engineering
Simulation approaches with applications in production and logistics
[FROM JUNE 6 TO JULY 5, 2022].
Virtual course
Visiting Professor: Naly Rakoto
University of origin: Escuela de Minas de Nantes (Francia)
Professor Uniandes: Fidel Torres
This course presents three complementary approaches (Petri Nets, Discrete Events and Intelligent Agents) to the modeling of logistics and production systems. The first part provides an introduction to the theory of Petri Nets by means of autonomous, timed and stochastic networks, with real applications to production systems in an academic software. The second part focuses on the theory of discrete event simulation and intelligent agents with applications in anyLogic and anyLogistix software. Examples of real simulated systems for epidemic propagation, manufacturing cells, transportation and supply chains, inventory models, airport logistics systems, pedestrian and vehicle movement in urban areas, among others, will be presented. The course is aimed at students and professionals in the areas of production, logistics or services who have taken a basic course in simulation or stochastic processes, interested in the use of simulation tools for process improvement and optimization.
INDUSTRIAL ENGINEERING DEPARTMENT
INNOVATIVE PRODUCT DEVELOPMENT
[FROM JUNE 19 TO JULY 18, 2022].
Virtual course
Visiting Professor: David Ochi
University of origin: California State University (Estados Unidos)
Professor Uniandes: Luis Arturo Pinzón
This course will prepare students to develop an innovative product through a Strategic Planning Process. Unlike a traditional product developed course, our focus is on strategic planning from the unique lens of an innovative process. Students will learn practical strategies to innovate their projects and products in order to meet their future organizational goals.
DEPARTMENT OF INDUSTRIAL ENGINEERING
LEADERSHIP, SYSTEMS THINKING AND STRATEGY: A TRILOGY FOR 21ST CENTURY PROBLEMS
[FROM JUNE 13 TO 24, 2022].
Virtual course
Visiting Professor: Roberto Villaseñor
University of origin: Instituto Tecnológico y de Estudios Superiores de Monterrey (México)
Professor Uniandes: Luis Arturo Pinzón
This is an advanced course in systems thinking and leadership that allows students to acquire and put into practice the concepts and tools of this discipline. The context of application is the pressure that humanity has put on natural resources. At the end of the course, students will be able to propose innovative solutions in the fields of education, health, ecology and economy according to systemic and ethical criteria.
DEPARTMENT OF INDUSTRIAL ENGINEERING
OPERATIONS ANALYTICS
[FROM JULY 1 TO 12, 2022].
Classroom course
Visiting Professor: Raha Akhavan Tabatabaei
University of origin: Sabancı Business School (Turkia)
Professor Uniandes: Carlos Valencia
Operations Analytics is concerned with the quantitative methods to design, manage, and improve the processes that transform inputs into finished goods or services. As it is one of the main functions of a firm, decisions made in operations have implications in other functions such as cost accounting, marketing and strategy.
The objective of the course is to provide you with the basic tools to critically analyze a firm's operating performance and practices. You will be introduced to a set of decisions in operations ranging from tactical to strategic. When models are discussed, the focus will be on gaining insight on their application, their required inputs and correctly interpreting their outputs, rather than their mathematical derivation.
Learning outcomes: Upon successful completion of the course, you should be able to:
- Define, analyze and evaluate the performance of processes
- Understand the impact of process and demand variability
- Identify the improvement opportunities for the processes and propose actions towards continuous improvement
- Develop a coherent supply chain strategy by identifying the operational capabilities needed to support a firm’s strategy.
DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING
DEPARTMENT OF INDUSTRIAL ENGINEERING
Sustainable innovation
[FROM JUNE 13 TO 24, 2022].
Course blended
Visiting professors:
Jorge Lozoya - Instituto Tecnológico y de Estudios Superiores de Monterrey (México)
Irene Bengo - Politecnico di Milano (Italia)
Uniandes Professors: Fernando Jiménez (IELE) y Catalina Ramírez (IIND)
It is a course offered by INGENIEROS SIN FRONTERAS that seeks to create spaces to develop innovative sustainable projects in an urban community.
DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING
DEPARTMENT OF INDUSTRIAL ENGINEERING
DEPARTMENT OF SYSTEMS AND COMPUTER ENGINEERING
MASTERING MACHINE LEARNING, TINY AND SIMPLE
[FROM JUNE 28 TO JULY 2, 2022]
Classroom course
Visiting professors:
Elkin García - Synaptics (Estados Unidos)
Rafael Martínez - Harvard University (Estados Unidos)
Professors Uniandes: Fredy Segura, Luis Felipe Giraldo y Fernando Lozano (IELE), Juan Fernando Pérez (IIND) y Valerie Gauthier (DISC)
Machine Learning (ML) has gained in recent years great importance in industry and academia in modeling, automation, prediction and decision making processes mainly due to three factors: the increasing availability of data and the variety of available sensors; the increase in processing capacity; and the reduction of size and costs in embedded systems with internet access in IoT ecosystems. With these three aspects in mind, this course focuses on explaining the theoretical and practical fundamentals that allow integrating the most recent and widely used models in the industry, such as Deep Neural Networks (DNN) and Support Vector Machines (SVMs), into embedded systems, which are the basis of emerging technologies such as tinyML and Edge AI. This course involves theoretical lectures and hands-on lab workshops where students will have the opportunity to apply the acquired knowledge.
Department of Mechanical Engineering
Big Data Analytic in reliability and maintenance
[FROM JUNE 6 TO 17, 2022].
Virtual course
Visiting Professor: Enrique López Droguett
Universidad de origen: University of California, Los Ángeles (Estados Unidos)
Professor Uniandes: Luis Mario Mateus
The course seeks to train professionals with mastery in Big Data analysis techniques applied to reliability and maintenance of physical assets that allow them to develop and analyze models and algorithms for the detection, diagnosis and prognosis of failures. For the above, professionals will learn to use a free software that will allow them to implement advanced Deep Learning algorithms through a visual programming platform, which works in a simple way, without the need for programming knowledge.
DEPARTMENT OF MECHANICAL ENGINEERING
UNCONVENTIONAL RESERVOIRS
[FROM JUNE 6 TO 22, 2022].
Virtual course
Visiting Professor: Hamid Emami-Meybodi
University of origin: Penn State University (Estados Unidos)
Professor Uniandes: Rodrigo Marín
Petrophysical and geochemical understanding of unconventional hydrocarbon reservoirs, specifically in mudrocks and shales. Log identification, in-situ hydrocarbon calculations, rock transport and production forecasts, along with the technological developments that enable their exploitation, including hydraulic fracturing.
DEPARTMENT OF BIOMEDICAL ENGINEERING
DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING
DEPARTMENT OF MECHANICAL ENGINEERING
DESIGN OF WEARABLE ROBOTS
[FROM JUNE 10 TO 17, 2022].
Classroom course
Visiting Professor: Cara González-Welker
University of origin: University of Colorado Boulder (Estados Unidos)
Professors Uniandes: Christian Cifuentes (IBIO), Luis Felipe Giraldo (IELE) y Carlos Francisco Rodríguez (IMEC)
This interdisciplinary course will cover different aspects involved in assistive devices for human movement. Specifically, the course will provide an overview of the human musculoskeletal system, experimental methods to track human motion, commonly used device sensors, and control strategies. Students will have the chance to apply concepts learned in the class through OpenSim, an open-source musculoskeletal modeling software, and will work in groups to investigate a specific topic of their choice further in depth to present to the class.
DEPARTMENT OF MECHANICAL ENGINEERING
DEPARTMENT OF CHEMICAL AND FOOD ENGINEERING
INTRODUCTION TO POLYMERIC NANOCOMPOSITES
[FROM JULY 11 TO 22, 2022].
Classroom course
Visiting Professor: Volker Altstaedt
University of origin: University of Bayreuth (Alemania)
Professors Uniandes: Jorge Medina (IMEC) y Felipe Salcedo (IQYA)
Nanocomposites are defined as the combination of two or more materials where at least one of them is present in the nanometric scale (1-100 nm). Said configuration had been possible due to the refinement in the techniques of synthesis, blending and analysis, capable of reaching such levels of structure. The results of this new type of materials have revolutionized applications ranging from electronics, medicine, aeronautics, packaging, agroindustry, among others, synergistically affecting the requirements of the applications mentioned and leaving traditional design theories. This course introduces the concepts related to polymeric nanocomposite materials, allowing the engineer to have criteria for control, design, manufacturing and characterization. The course will contain basic introductory elements, contextualization in terms of the evolution and classification of said materials, an approach based on the morphology of the reinforcements, blending theories, foams based on nanocomposites, the processing and the most relevant characterization techniques.
DEPARTMENT OF CHEMICAL AND FOOD ENGINEERING
Food safety, fraud and defense
[FROM JUNE 13 TO 17, 2022].
Classroom course
Visiting Professor: Fernando Sampedro
University of origin: Universidad de Minnesota (Estados Unidos)
Professor Uniandes: María Hernández Carrión
The course will introduce participants to the concepts of risk management in food safety, fraud and food defense. Quantitative risk matrices will be used to assess risk based on the concepts of probability and severity. Participants will work in groups choosing a particular food and develop a food safety, fraud and food defense plan. At the end of the course, each group will present their work.
DEPARTMENT OF FOOD AND CHEMICAL ENGINEERING
DEPARTMENT OF BIOLOGICAL SCIENCES
BIOSEPARATIONS
[FROM JULY 25 TO 30, 2022].
Classroom course
Visiting professors:
José Guillermo González - Instituto Tecnológico y de Estudios Superiores de Monterrey (México)
Frank Bagaz - University of College London (Inglaterra)
Sebastián Hernández - Nanyang Technological University (Singapur)
Professors Uniandes:
Luis Humberto Reyes y María Francisca Villegas
The course will cover the following topics: introduction to bioseparation, cell disintegration, processes based on precipitation, centrifugation, extraction, adsorption, chromatography, flocculation and membranes.
DEPARTMENT OF MECHANICAL ENGINEERING
DEPARTMENT OF CHEMICAL AND FOOD ENGINEERING
INTRODUCTION TO POLYMERIC NANOCOMPOSITES
[FROM JUNE 11 TO JULY 22, 2022].
Classroom course
Visiting Professor: Volker Altstaedt
University of origin: University of Bayreuth (Alemania)
Professors Uniandes: Jorge Medina (IMEC) y Felipe Salcedo (IQYA)
Nanocomposites are defined as the combination of two or more materials where at least one of them is present in the nanometric scale (1-100 nm). Said configuration had been possible due to the refinement in the techniques of synthesis, blending and analysis, capable of reaching such levels of structure. The results of this new type of materials have revolutionized applications ranging from electronics, medicine, aeronautics, packaging, agroindustry, among others, synergistically affecting the requirements of the applications mentioned and leaving traditional design theories. This course introduces the concepts related to polymeric nanocomposite materials, allowing the engineer to have criteria for control, design, manufacturing and characterization. The course will contain basic introductory elements, contextualization in terms of the evolution and classification of said materials, an approach based on the morphology of the reinforcements, blending theories, foams based on nanocomposites, the processing and the most relevant characterization techniques.
DEPARTMENT OF SYSTEMS AND COMPUTER ENGINEERING
DECIPHERING BITCOIN
[FROM JUNE 10 TO JULY 18, 2022].
Classroom course
Visiting Professor: Jan-Willem Burgers
Company: Great Stuff Ventures (Países Bajos)
Professor Uniandes: Sandra Rueda
The Bitcoin system, with the bitcoin currency at its core, is a fascinating subject of enquiry and offers opportunities for those with an entrepreneurial mindset. But where do you start? Attempt to decipher it all on your own and you will probably get lost in a seemingly endless sea of rabbit holes. So, you need the right foundation. One that allows you subsequently to explore and experiment on your own, and even contribute to this flourishing ecosystem. This course is specifically designed to offer such a foundation for engineers, computer scientists, and cybersecurity specialists. Particularly, it seeks to offer insight into fundamental, interrelated questions about Bitcoin’s design and societal value.
DEPARTMENT OF SYSTEMS AND COMPUTER ENGINEERING
DIGITAL PRODUCT MANAGEMENT
[FROM JULY 5 TO 30, 2022].
Course blended
Visiting Professor: Laura Mariño
University of origin: Stanford University (Estados Unidos)
Professor Uniandes: Oscar González y Javier Torres
Product management is the discipline that operates at the intersection between technology, business, and user experience. It is responsible for balancing technical feasibility, customer and user needs and business viability to ensure the successful design, development and evolution of products and services. Product management has evolved over the last twenty years and is now recognized as a critical discipline in technology product companies in Silicon Valley, especially in digital products. With the growth in technology investment in Latin America, the demand for people trained in this discipline is increasing, not only in new companies, but also in established companies that want to innovate.
The course gives an introduction to product management, discusses the product life cycle from opportunity identification to market launch, and introduces, through practical exercises, tools for designing successful products and services. Real-world examples cover a wide range of product types, industry and company size.
The course also looks at the context of the organization and the market, analyzes the differences in innovation strategies and challenges depending on the maturity of the organization (startup vs. established company), and discusses the characteristics of successful product managers and product leaders.
DEPARTMENT OF ELECTRICAL AND ELECTRONIC ENGINEERING
DEPARTMENT OF INDUSTRIAL ENGINEERING
DEPARTMENT OF SYSTEMS AND COMPUTER ENGINEERING
MASTERING MACHINE LEARNING, TINY AND SIMPLE
[FROM JUNE 28 TO JULY 2, 2022]
Classroom course
Visiting professors:
Elkin García - Synaptics (Estados Unidos)
Rafael Martínez - Harvard University (Estados Unidos)
Professors Uniandes: Fredy Segura, Luis Felipe Giraldo y Fernando Lozano (IELE), Juan Fernando Pérez (IIND) y Valerie Gauthier (DISC)
Machine Learning (ML) has gained in recent years great importance in industry and academia in modeling, automation, prediction and decision making processes mainly due to three factors: the increasing availability of data and the variety of available sensors; the increase in processing capacity; and the reduction of size and costs in embedded systems with internet access in IoT ecosystems. With these three aspects in mind, this course focuses on explaining the theoretical and practical fundamentals that allow integrating the most recent and widely used models in the industry, such as Deep Neural Networks (DNN) and Support Vector Machines (SVMs), into embedded systems, which are the basis of emerging technologies such as tinyML and Edge AI. This course involves theoretical lectures and hands-on lab workshops where students will have the opportunity to apply the acquired knowledge.
MASTER'S DEGREE IN PETROLEUM ENGINEERING
UNCONVENTIONAL RESERVOIRS
[FROM JUNE 6 TO 22, 2022]
Virtual course
Visiting Professor: Hamid Emami-Meybodi
University of origin: Penn State University (Estados Unidos)
Professor Uniandes: Rodrigo Marín
Entendimiento petrofísico y geoquímico de los depósitos de hidrocarburos no convencionales, específicamente en lutitas (mudrocks y shales). Identificación de registros, cálculos de hidrocarburos en sitio, transporte en rocas y pronósticos de producción, junto con los desarrollos tecnológicos que permiten su explotación, incluyendo el fracturamiento hidráulico.
MASTER'S DEGREE AND DOCTORATE IN TECHNOLOGICAL INNOVATION MANAGEMENT
ECOSYSTEMS OF INNOVATION
[FROM JULY 5 TO 15, 2022]
Classroom course
Visiting Professor: Barry Katz
University of origin: Stanford University (Estados Unidos)
Professor Uniandes: Rafael Vesga
"Innovation Ecosystems" is based on the premise that materializing technological change in high-growth companies is not essentially a problem of institutions (government agencies, venture capital funds, etc.). These are necessary, but not sufficient. The fundamental change that must take place, both within firms and in the interaction between firms in a region, involves the development of powerful capabilities for design, technology creation and organizational renewal. The course provides a framework for drawing the most profound lessons for Colombia, both positive and negative, from the Silicon Valley experience. We will place special emphasis on the role of design as a discipline and as an organizational capability, and its interactions with technology and strategic transformation.
