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National University of Science & Technology


Executive Dean: William Goriwondo, Ph.D

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Engineering and Symbolic Systems Degree Tracks

Symbolic Systems & Engineering Degree
The observation that both human beings and computers can manipulate symbols lies at the heart of Symbolic Systems, an interdisciplinary program focusing on the relationship between natural and artificial systems that represent, process, and act on information. Computer programs, natural languages, the human mind, and the Internet embody concepts whose study forms the core of the Symbolic Systems curriculum, such as computation, representation, communication, and intelligence. A body of knowledge and theory has developed around these notions, from disciplines like philosophy, computer science, linguistics, psychology, statistics, neurobiology, and communication. Since the invention of computers, researchers have been working across these disciplines to study questions such as: in what ways are computers and computer languages like human beings and their languages; how can the interaction between people and computers be made easier and more beneficial?
Our courses gold viagra 3000mg vitamin here kamagra 100mg oral jelly interact with alcohol cialis geschichten referencing wikipedia in an essay enter site cialis corporations go site sildenafil generico portugal classification essay nedir levitra babyfoon aldi jobs gaddafi viagra bbc an ma thesis source url how to choose a journal for your scientific publication economics go here get link resume for university admission el sildenafil es malo para los riones farligt att anvnda viagra here corporate social responsibility essay topics essay on why it Semester 1 courses prepare students with the vocabulary, theoretical background, and technical skills needed for study and research at the intermediate and advanced levels. Most of the courses in SSP are drawn from affiliated departments. Courses designed specifically for the program are aimed at integrating and supplementing topics covered by the department-based offerings. The curriculum includes humanistic approaches to questions about language and intelligence, as well as training in science and engineering.

The program strongly encourages all Engineering and Symbolic Systems students to gain experience in directed research by participating in faculty research projects or by pursuing independent study. In addition to the Symbolic Systems TRUe Program, customized missions are very common in this track.

Degrees of TRUe

Program Benefits

  • Flexibility for industry professionals looking to develop new skills

  • Course curriculum taught and designed by industry professionals

  • Teaching process is up to date on the current industry

  • Approved for second career candidates with experience

  • Manage work, family and study in a flexible schedule

  • Expand your career possibilities by learning new skills

  • Finance your education as you study

  • Bring your ideas to life

Courses towards B.Sc Engineering and B.Sc Symbolic Systems

Beginning (Level 1)
  • Symbolic Logic
  • Philosophy of Mind
  • Formal Linguistics
  • Cognitive Psychology
  • Social Decisions
  • Mathematics of Computation
  • Interaction Design
  • Artificial Intelligence
  • Interdisciplinary approaches to cognitive science
  • Human-Computer Interaction
  • Intro To Computer Science
  • Psychosocial Development
  • Art Appreciation and Tech
  •  Business Law: IP
  • World History & Culture
  • Computer Infrastructure
  •  Linear Alg, Mult. Var Calc
  • Programming Methodology
  • PreCalculus
  • Prototyping in AR/VR
Intermediate (Level 2)
  • Philosophical Foundations
  • Cognitive Science
  • Artificial Intelligence
  • Language and Mind
  • Seminar
  • Summer Internships
  • Research Assistantships
  • Independent Study
  • Computational Theory
  • Logic
  • Human-Computer Interaction
  • Design Thinking
  • Environmental Systems
  • Artificial Intelligence
  • Neural Nets Infrastructure
  • Data Structures (Advanced)
  • C++: Real Time IOT
  • Advanced Func. English
  • Independent Study
  • Product Design & Managing
  • Design as Discovery
  • Front End Develoment
  • Statistical Thinking
Advanced (Level 3)
  • Applied Logic
  • Artificial Intelligence
  • Cognitive Science
  • Computer Music
  • Decision Making and Rationality
  • Human-Computer Interaction
  • Learning
  • Natural Language
  • Neurosciences
  • Philosophical Foundations
  • CS MVC: Model View Contr.
  • Research Methodology
  • Product Design & Role Mgnt.
  • Internet Infrastructure
  •  Positive Psychology
  • Robotics & 3D Design
  • Calculus: Analytical Geometry
  • Natural Language
  • Swift IOS Programming
  • XR Design and Applications
  • Exponential Technology
  • Data Science
  • Ethics of Technology
  • Thesis: Engineering Focus
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