Curricula CS-UNI

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Executive Summary

Este documento representa el informe final de la nueva malla curricular 2026 del Escuela Profesional de Ciencia de la Computación de la Universidad Nacional de Ingeniería (UNI) (https://www.uni.edu.pe ) en la ciudad de Lima-Perú.

This document presents the curricular design of the Computer Science \ program under the international standards of the Computing Curricula CC2020, a reference framework developed jointly by the Association for Computing Machinery (ACM) and the IEEE Computer Society (IEEE-CS). CC2020, available at http://www.acm.org/education, synthesizes three decades of disciplinary evolution (from CS2001 to CC2020) and responds to the current demands of the fourth industrial revolution.

The proposal adapts this global reference to our regional context, incorporating:

Local labor market requirements in technology
Institutional strengths in applied research
Emerging trends in computing education

Computing today presents the following undergraduate professional training profiles:

Computer Engineering (CE) (Soldan et al., 2016),
Computer Science (CS) (ACM/IEEE-CS/AAAI Joint Task Force, 2023),
Information Systems (IS) (The Joint ACM/AIS IS2020 Task Force, 2020),
Software Engineering (SE) (LeBlanc et al., 2015),
Information Technology (IT) (ACM and IEEE-CS, 2017).
Cybersecurity (CY) (ACM/IEEE-CS Joint Task Force on Cybersecurity Education, 2017).
Data Science (DS) (ACM Data Science Task Force, 2021).

The pedagogical model is supported by three transformative pillars:

Technical excellence: Mastery of computational fundamentals and progressive specialization
Disruptive innovation: Agile methodologies, computational thinking, and startup creation
Social responsibility: Professional ethics, technological sustainability, and community impact

This curriculum will produce professionals with:

Ability to solve complex problems in global environments
Competencies to lead digital transformation
Sensitivity to the ethical challenges of artificial intelligence, privacy, and technological governance

This proposal incorporates continuous update mechanisms, ensuring relevance in the face of rapid technological obsolescence and alignment with international accreditation standards.

List of Figures

Figure 1.1: Field of action of the Ciencia de la Computación
Figure 4.1: Course coding scheme.
Figure 4.2: Credits by area by semester
Figure 4.3: Distribution of courses by area considering credits.
Figure 4.4: Distribution of credits by course levels.
Figure 4.5: Comparing CS-UNI and CS proposed by ACM/IEEE-CS (Curve chart).
Figure 4.6: Comparing CS-UNI and CS proposed by ACM/IEEE-CS (Spider chart).
Figure 4.7: Comparing CS-UNI and DS proposed by ACM/IEEE-CS (Curve chart).
Figure 4.8: Comparing CS-UNI and DS proposed by ACM/IEEE-CS (Spider chart).
Figure 4.9: Comparing CS-UNI and SE proposed by ACM/IEEE-CS (Curve chart).
Figure 4.10: Comparing CS-UNI and SE proposed by ACM/IEEE-CS (Spider chart).
Figure 4.11: Comparing CS-UNI and CY proposed by ACM/IEEE-CS (Curve chart).
Figure 4.12: Comparing CS-UNI and CY proposed by ACM/IEEE-CS (Spider chart).
Figure 4.13: Comparing CS-UNI and CE proposed by ACM/IEEE-CS (Curve chart).
Figure 4.14: Comparing CS-UNI and CE proposed by ACM/IEEE-CS (Spider chart).
Figure 4.15: Comparing CS-UNI and IT proposed by ACM/IEEE-CS (Curve chart).
Figure 4.16: Comparing CS-UNI and IT proposed by ACM/IEEE-CS (Spider chart).
Figure 4.17: Comparing CS-UNI and IS proposed by ACM/IEEE-CS (Curve chart).
Figure 4.18: Comparing CS-UNI and IS proposed by ACM/IEEE-CS (Spider chart).
Figure 5.1: Connection Map. BIC01 Introduction to Computing
Figure 5.2: Connection Map. BMA101 Linear Algebra
Figure 5.3: Connection Map. BMA102 Differential Calculus
Figure 5.4: Connection Map. BCH101 Chemistry I
Figure 5.5: Connection Map. FG001 General Elective
Figure 5.6: Connection Map. BEI101 Technical and professional English I
Figure 5.7: Connection Map. CS100 Introduction to Computer Science
Figure 5.8: Connection Map. CS112 Objects-oriented programming I
Figure 5.9: Connection Map. CS1D1 Discrete Structures
Figure 5.10: Connection Map. BMA103 Integral Calculus
Figure 5.11: Connection Map. BFI101 Physics I
Figure 5.12: Connection Map. BEI102 Technical and professional English II
Figure 5.13: Connection Map. CS113 Objects-oriented programming II
Figure 5.14: Connection Map. CS2B1 Platform Based Development
Figure 5.15: Connection Map. AI161 Applied AI
Figure 5.16: Connection Map. BMA104 Advanced Differential and Integral Calculus
Figure 5.17: Connection Map. STA251 Probability Calculation
Figure 5.18: Connection Map. BEI201 Technical and professional English III
Figure 5.19: Connection Map. CS210 Algorithms and Data Structures
Figure 5.20: Connection Map. CS211 Theory of Computation
Figure 5.21: Connection Map. CS221 Computer Systems Architecture
Figure 5.22: Connection Map. CS271 Data Management
Figure 5.23: Connection Map. CS401 Research Methodology
Figure 5.24: Connection Map. MA202 Numerical Methods
Figure 5.25: Connection Map. BEI202 Technical and professional English IV
Figure 5.26: Connection Map. CS212 Analysis and Design of Algorithms
Figure 5.27: Connection Map. CS261 Artificial Intelligence
Figure 5.28: Connection Map. CS272 Databases II
Figure 5.29: Connection Map. CS291 Software Engineering I
Figure 5.30: Connection Map. CS2S1 Operating systems
Figure 5.31: Connection Map. BEI203 Technical and professional English V
Figure 5.32: Connection Map. CS231 Networking and Communication
Figure 5.33: Connection Map. CS311 Algorithms for Complex Problems
Figure 5.34: Connection Map. CS312 Advanced Data Structures
Figure 5.35: Connection Map. CS342 Compilers
Figure 5.36: Connection Map. AI263 Introduction to Machine Learning
Figure 5.37: Connection Map. FI201 Computational Physics
Figure 5.38: Connection Map. CS251 Computer Graphics
Figure 5.39: Connection Map. CS292 Software Engineering II
Figure 5.40: Connection Map. CS2H1 User Experience (UX)
Figure 5.41: Connection Map. AI264 Deep Learning
Figure 5.42: Connection Map. FG211 Professional Ethics
Figure 5.43: Connection Map. CS281 Computing in Society
Figure 5.44: Connection Map. CS3I1 Computer Security
Figure 5.45: Connection Map. CS3P1 Parallel and Distributed Computing
Figure 5.46: Connection Map. CS402 Capstone Project I
Figure 5.47: Connection Map. FG106 Theater
Figure 5.48: Connection Map. EX301 Extracurricular Activities
Figure 5.49: Connection Map. AI268 Computational Vision
Figure 5.50: Connection Map. CS391 Software Engineering III
Figure 5.51: Connection Map. CS393 Information systems
Figure 5.52: Connection Map. CS394 Software Architecture and DevOps for Cloud Software
Figure 5.53: Connection Map. CS370 Big Data
Figure 5.54: Connection Map. CS400 Pre-professional internships
Figure 5.55: Connection Map. CS403 Capstone Project II
Figure 5.56: Connection Map. AI365 Advanced Generative AI Models
Figure 5.57: Connection Map. CB309 Bioinformatics
Figure 5.58: Connection Map. AI369 Robotics
Figure 5.59: Connection Map. CS351 Topics in Computer Graphics
Figure 5.60: Connection Map. CS353 Quantum Computing
Figure 5.61: Connection Map. CS392 Tópicos en Ingeniería de Software
Figure 5.62: Connection Map. CS3P3 Internet of Things
Figure 5.63: Connection Map. CS3P2 Cloud Computing
Figure 5.64: Connection Map. CS404 Research Workshop
Figure 5.65: Connection Map. AI367 Topics in Artificial Intelligence
Figure 5.66: Connection Map. AI368 Evolutionary Computing
Figure 5.67: Connection Map. FG350 Leadership and Performance

List of Tables

Table 2.1: List of KUs in the Artificial Intelligence area.
Table 2.2: List of KUs in the Algorithmic Foundations area.
Table 2.3: List of KUs in the Architecture and Organization area.
Table 2.4: List of KUs in the Data Management area.
Table 2.5: List of KUs in the Foundations of Programming Languages area.
Table 2.6: List of KUs in the Graphics and Interactive Techniques area.
Table 2.7: List of KUs in the Human-Computer Interaction area.
Table 2.8: List of KUs in the Mathematical and Statistical Foundations area.
Table 2.9: List of KUs in the Networking and Communication area.
Table 2.10: List of KUs in the Operating Systems area.
Table 2.11: List of KUs in the Parallel and Distributed Computing area.
Table 2.12: List of KUs in the Software Development Fundamentals area.
Table 2.13: List of KUs in the Software Engineering area.
Table 2.14: List of KUs in the Security area.
Table 2.15: List of KUs in the Society, Ethics, and the Profession area.
Table 2.16: List of KUs in the System Fundamentals area.
Table 2.17: List of KUs in the Specialized Platform Development area.
Table 3.1: List of KUs in the Calculus and Analysis area.
Table 3.2: List of KUs in the Algebra and Number Theory area.
Table 3.3: List of KUs in the Discrete Mathematics and Combinatorics area.
Table 3.4: List of KUs in the Probability and Statistics area.
Table 3.5: List of KUs in the Numerical and Scientific Analysis area.
Table 3.6: List of KUs in the Mathematical Modeling and Simulation area.
Table 3.7: List of KUs in the Mathematical Foundations of Data Science area.
Table 3.8: List of KUs in the Quantum Information and Computing area.
Table 3.9: List of KUs in the Electromagnetism area.
Table 3.10: List of KUs in the Thermodynamics and Statistical Mechanics area.
Table 3.11: List of KUs in the Computational and Data-Driven Physics area.
Table 3.12: List of KUs in the Classical Mechanics area.
Table 3.13: List of KUs in the General Chemistry area.
Table 3.14: List of KUs in the Computational and Theoretical Chemistry area.
Table 3.15: List of KUs in the Biochemistry and Molecular Biology area.
Table 4.1: Tópicos de Computer Science por curso del 1^er al 2^do Semestre
Table 4.2: Tópicos de Computer Science por curso del 3^er al 4^to Semestre
Table 4.3: Tópicos de Computer Science por curso del 5^to al 6^to Semestre
Table 4.4: Tópicos de Computer Science por curso del 7^mo al 8^vo Semestre
Table 4.5: Tópicos de Computer Science por curso del 9^no al 10^mo Semestre
Table 4.6: Tópicos de Basic Sciences for Computing por curso del 1^er al 2^do Semestre
Table 4.7: Tópicos de Basic Sciences for Computing por curso del 3^er al 4^to Semestre
Table 4.8: Tópicos de Basic Sciences for Computing por curso del 5^to al 6^to Semestre
Table 4.9: Tópicos de Basic Sciences for Computing por curso del 7^mo al 8^vo Semestre
Table 4.10: Tópicos de Basic Sciences for Computing por curso del 9^no al 10^mo Semestre
Table 4.11: Resultados esperados por curso 1^er al 2^do Semestre
Table 4.12: Resultados esperados por curso 3^er al 4^to Semestre
Table 4.13: Resultados esperados por curso 5^to al 6^to Semestre
Table 4.14: Resultados esperados por curso 7^mo al 8^vo Semestre
Table 4.15: Resultados esperados por curso 9^no al 10^mo Semestre
Table 4.16: Distribution of credits by area by semester

Executive Summary

Table of Contents

List of Figures

List of Tables