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Publications in VIVO

Bastias, Alfonso Gonzalo



Research Areas research areas


research overview

  • I created a Decision Support System (Strategic Decisions Method Comparing Risks, Performance Outcomes, and Scenarios - Patent pending) that offers a tool for creating and evaluating management strategies for business ventures or capital expenditure decisions. More particularly, it relates to decision-making logic using a computer-based platform, data, expert judgment, structure, and simulation analysis to support a strategic decision process.


  • Software Development, Decision Support Systems, Risk Management, Project Management, Project Control, Lean Construction, Data Science, Artificial Intelligence, Machine Learning, Innovation and Entrepreneurship, Knowledge Management, Learning Organizations, Team Building, Education, and Leadership


selected publications


courses taught

  • AREN 4317 - Architectural Engineering Design
    Secondary Instructor - Spring 2020
    Provides a capstone experience to AREN students. Students design a modest commercial building and complete an integrated engineering design of the building systems executed for the conceptual, schematic, and design development phases. Students' teams work on structural, mechanical, electrical/lighting, and construction engineering management design. Each stage produce a professional-quality design document. Faculty and industry mentors participate in the teaching and evaluation of designs.
  • CSCI 3002 - Fundamentals of Human Computer Interaction
    Primary Instructor - Spring 2024
    Introduces the practice and research of human-computer interaction, including its history, theories, the techniques of user-centered design, and the development of interactive technologies. Covers computing in society at large with respect to domains such as health, education, assistive technology, ethics, environment, and more.
  • CSCI 5502 - Data Mining
    Primary Instructor - Spring 2024
    Introduces basic data mining concepts and techniques for discovering interesting patterns hidden in large-scale data sets, focusing on issues relating to effectiveness and efficiency. Topics covered include data preprocessing, data warehouse, association, classification, clustering, and mining specific data types such as time-series, social networks, multimedia, and Web data. Same as CSCI 4502.
  • CVEN 3246 - Introduction to Construction
    Primary Instructor - Summer 2020
    Provides a broad view of concerns, activities, and objectives of people involved in construction: the owner, architect/engineer, contractor, labor and inspector. Interactive gaming situation relates these people to the construction contract, plans/specifications, estimates/bids, scheduling, law and financial management. Students with a Business School Real Estate emphasis may be considered for this course.
  • CVEN 3256 - Construction Equipment and Methods
    Primary Instructor - Spring 2020
    Integrated study of construction equipment, methods, and economics. Topics include equipment productivity, equipment selection, and construction engineering design within economic constraints. Examples include earthmoving, concrete formwork, and temporary construction.
  • DTSC 5501 - Data Structures and Algorithms
    Primary Instructor - Fall 2023 / Spring 2024
    This course provides students with a fundamental introduction to data structures and the design and analysis of algorithms. It covers a range of data structures such as priority queues, hash functions, and trees alongside algorithmic design techniques such as divide and conquer, dynamic programming, and greedy algorithms. The course demonstrates applications of these concepts in a number of contexts such as the sorting of arrays, and the use of hash-tables for approximate counting. Some advanced topics, such as the data structures and algorithms used to represent and analyze spatial data, are also covered. The course ends with a brief introduction to intractability (NP-completeness) and using linear/integer programming solvers for solving optimization problems. This course cannot be applied for credit towards a graduate degree in Computer Science.
  • DTSC 5930 - Professional Internship
    Primary Instructor - Fall 2023 / Spring 2024
    This class provides a structure for DS graduate students to receive academic credit for internships with industry partners that have an academic component to them suitable for graduate-level work. Participation in the program will consist of an internship agreement between a student and an industry partner who will employ the student in a role that supports the academic goals of the internship. Instructor participation will include facilitation of mid-term and final assessments of student performance as well as support for any academic-related issues that may arise during the internship period. Recommended prerequisite: may be taken during any term following initial enrollment and participation in DS graduate programs. May be repeated up to 3 total credit hours.


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