Academic Plan

010610014

BEGINNING ENGLISH

In Reading, students learn to skim; scan; identify the main idea and supporting details; make predictions about a text; answer questions about a text; identify signal words, transitions, pronouns, and referents; identify parts of speech and verb tenses; guess the meaning of unknown words from context; and recognize prefixes and suffixes. In Writing, students learn to write both simple and compound sentences with correct punctuation and capitalization. They write at the sentence and paragraph level using simple present tense, simple past tense, and simple future tense. In Grammar, students review the basic parts of speech and their functions in a sentence, the simple tenses (present, past, and future) and present and past continuous, pronouns, prepositions of time and location, articles, singular and plural nouns, and question formation.

010610014

BEGINNING ENGLISH

In Reading, students learn to skim; scan; identify the main idea and supporting details; make predictions about a text; answer questions about a text; identify signal words, transitions, pronouns, and referents; identify parts of speech and verb tenses; guess the meaning of unknown words from context; and recognize prefixes and suffixes. In Writing, students learn to write both simple and compound sentences with correct punctuation and capitalization. They write at the sentence and paragraph level using simple present tense, simple past tense, and simple future tense. In Grammar, students review the basic parts of speech and their functions in a sentence, the simple tenses (present, past, and future) and present and past continuous, pronouns, prepositions of time and location, articles, singular and plural nouns, and question formation.

010610025

INTERMEDIATE ENGLISH

In Reading, students learn to skim; scan; identify the main and supporting details; make predictions and answer questions about a text; identify signal words, transitions, pronouns, and referents, parts of speech and verb tenses; guess the meaning of contextual words; recognize prefixes and suffixes, recognize noun, adjective, and adverb clauses, and distinguish between fact and opinion.

010610026

INTERMEDIATE ENGLISH LAB

The Language Center courses are designed to help students cope with university education in English. The unlock listening and speaking 2 (Intermediate English Lab.) focuses on developing students’ listening, speaking and critical thinking skills. Students watch videos, listen to audios, think critically to be able to speak about different topics using a simplified academic language. The intermediate English lab is meant to prepare students for speaking and listening contexts. Students learn strategies for improving listening comprehension and stimulating critical thinking. The language lab component is specifically designed to improve students’ speaking and listening skills.

010610025

INTERMEDIATE ENGLISH

In Reading, students learn to skim; scan; identify the main and supporting details; make predictions and answer questions about a text; identify signal words, transitions, pronouns, and referents, parts of speech and verb tenses; guess the meaning of contextual words; recognize prefixes and suffixes, recognize noun, adjective, and adverb clauses, and distinguish between fact and opinion.

010610026

INTERMEDIATE ENGLISH LAB

The Language Center courses are designed to help students cope with university education in English. The unlock listening and speaking 2 (Intermediate English Lab.) focuses on developing students’ listening, speaking and critical thinking skills. Students watch videos, listen to audios, think critically to be able to speak about different topics using a simplified academic language. The intermediate English lab is meant to prepare students for speaking and listening contexts. Students learn strategies for improving listening comprehension and stimulating critical thinking. The language lab component is specifically designed to improve students’ speaking and listening skills.

010610035

ADVANCED ENGLISH

This is an integrated skills course in which students work on reading, Writing, listening' and speaking. In reading, student learn to distinguish between fact and opinion,determine the author's purpose or point of view, justify answers to comprehension questions,make inferences, read academic texts, recognize grammatical relation ship in atext. In Writing, student learn to write complex sentences and comma splices. In Grammar, the review parts of speech, articles, and phrases and clauses.

100411010

CALCULUS I

Functions, inverse functions, limits, continuity, derivatives, application of derivatives, indeterminate forms and L’Hopital’s rule, definite integrals, the fundamental theorem of calculus, indefinite integrals and integration by substitution.

100411010

CALCULUS I

Functions, inverse functions, limits, continuity, derivatives, application of derivatives, indeterminate forms and L’Hopital’s rule, definite integrals, the fundamental theorem of calculus, indefinite integrals and integration by substitution.

100411020

CALCULUS II

Techniques and applications of integration, area under curve, volumes of revolutions, surface area and arc length, series and sequences, convergence tests of infinite series, parametric equations and polar coordinates.

290311110

INTRODUCTION TO COMPUTER SCIENCE

An introductory course in computer science that familiarizes students with the fundamental concepts of computing. The course covers number systems, computer hardware and software, programming languages, algorithms, databases, the Internet, and an introduction to artificial intelligence. Emphasis is placed on developing problem-solving skills through flowcharting and hands-on practice in labs, giving students a solid foundation for further study in computing and related fields.

290311120

PROGRAMMING FUNDAMENTALS

This course introduces students to the Java programming language and enables them to write syntactically correct and logically sound programs. Topics covered include: an introduction to Java, variable declaration, data types, programming expressions, control statements and conditional structures, loops, function definitions and parameter passing, arrays, matrices, classes, objects, and an introduction to object-oriented programming concepts. This course includes a practical component where students are trained to write, compile, and execute programs and solve various problems related to the programming concepts covered in Java.

290311120

PROGRAMMING FUNDAMENTALS

This course introduces students to the Java programming language and enables them to write syntactically correct and logically sound programs. Topics covered include: an introduction to Java, variable declaration, data types, programming expressions, control statements and conditional structures, loops, function definitions and parameter passing, arrays, matrices, classes, objects, and an introduction to object-oriented programming concepts. This course includes a practical component where students are trained to write, compile, and execute programs and solve various problems related to the programming concepts covered in Java.

290311120

PROGRAMMING FUNDAMENTALS

This course introduces students to the Java programming language and enables them to write syntactically correct and logically sound programs. Topics covered include: an introduction to Java, variable declaration, data types, programming expressions, control statements and conditional structures, loops, function definitions and parameter passing, arrays, matrices, classes, objects, and an introduction to object-oriented programming concepts. This course includes a practical component where students are trained to write, compile, and execute programs and solve various problems related to the programming concepts covered in Java.

250111040

ELEMENTARY PROBABILITY & STATISTICS

The elementary Probability and Statistics course covers key topics including experiments, events, compound events, probability rules, conditional probability, sampling data representation, measures of central tendency and dispersion, random variables, discrete probability distribution, normal distribution, and estimation. Students will gain practical skills in data analysis, decision-making, and interpreting statistical findings. The course combines theoretical principles with real-world applications to provide a solid foundation in probability and statistics.

290312130

COMPUTER ARCHITECTURE

250223010

LINEAR ALGEBRA I

Linear Algebra I introduces key concepts such as systems of linear equations, matrices, determinants, vector spaces, subspaces, bases, dimensions, row spaces, column spaces, null spaces, rank, linear transformations, eigenvalues, eigenvectors, and diagonalization. This course provides a foundational understanding of linear algebra, essential for mathematical analysis and problem-solving in diverse fields.

290312120

FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE

This course provides an overview of the field of artificial intelligence and its core techniques and applications. Topics covered include logic, constraint satisfaction, search, game playing, Markov decision processes and reasoning, planning, and learning with certainty and uncertainty. This course also includes a practical component that emphasizes hands-on implementation of AI algorithms and techniques through programming exercises, problem-solving tasks, and applied projects.

100411020

CALCULUS II

Techniques and applications of integration, area under curve, volumes of revolutions, surface area and arc length, series and sequences, convergence tests of infinite series, parametric equations and polar coordinates.

290311120

PROGRAMMING FUNDAMENTALS

This course introduces students to the Java programming language and enables them to write syntactically correct and logically sound programs. Topics covered include: an introduction to Java, variable declaration, data types, programming expressions, control statements and conditional structures, loops, function definitions and parameter passing, arrays, matrices, classes, objects, and an introduction to object-oriented programming concepts. This course includes a practical component where students are trained to write, compile, and execute programs and solve various problems related to the programming concepts covered in Java.

290312230

MACHINE LEARNING

This course provides students with a foundational understanding of machine learning. It covers the fundamentals of machine learning concepts, methodologies, real-world applications. The course focuses on key modules such as Algorithms, Statistics & Probability, Supervised & Unsupervised learning, Classification, Decision Trees, Random Forests, Linear & Logistic Regression, Artificial Neural Networks, Support Vector Machines, Bayesian Learning, k-Nearest-neighbor algorithm, Clustering and natural language processing. This course also includes a practical component that emphasizes the application of supervised and unsupervised machine learning techniques using real-world datasets.

290312230

MACHINE LEARNING

This course provides students with a foundational understanding of machine learning. It covers the fundamentals of machine learning concepts, methodologies, real-world applications. The course focuses on key modules such as Algorithms, Statistics & Probability, Supervised & Unsupervised learning, Classification, Decision Trees, Random Forests, Linear & Logistic Regression, Artificial Neural Networks, Support Vector Machines, Bayesian Learning, k-Nearest-neighbor algorithm, Clustering and natural language processing. This course also includes a practical component that emphasizes the application of supervised and unsupervised machine learning techniques using real-world datasets.

290312230

MACHINE LEARNING

This course provides students with a foundational understanding of machine learning. It covers the fundamentals of machine learning concepts, methodologies, real-world applications. The course focuses on key modules such as Algorithms, Statistics & Probability, Supervised & Unsupervised learning, Classification, Decision Trees, Random Forests, Linear & Logistic Regression, Artificial Neural Networks, Support Vector Machines, Bayesian Learning, k-Nearest-neighbor algorithm, Clustering and natural language processing. This course also includes a practical component that emphasizes the application of supervised and unsupervised machine learning techniques using real-world datasets.

100311620

CHEMISTRY FOR MEDICAL SCIENCES

Basic principles of modern chemistry for non-chemistry majors and includes:Atomic and molecular weights,mole concept, chemical bonding, bases and acids,gas reactions,states of matter,properties of solutions and colloids,and chemical equilib

100211620

BIOLOGY FOR MEDICAL SCIENCES

Basic knowledge in diverse biological topics, macromolecules structure and function, cell structure, function, division, basics of genetics including meiosis and sexual life cycles,Mendelian genetics, chromosomal and molecular basis of inheritance.

100211650

BIOLOGY LAB FOR MEDICAL STUDENTS

Observations, developing and testing of student formulated hypotheses, practical study of microscope, chemical composition of the cells, cell structure and function, enzymes, membrane and their transport mechanisms, respiration, fermentation, photosynthesis, cell division, principles in genetics and animal and plant tissues.

290314130

CAPSTONE PROJECT RESEARCH

This course prepares students in the BSc programs of Artificial Intelligence and Medical Sciences and Artificial Intelligence and Robotics for their capstone project. It focuses on selecting a suitable project topic, identifying a real-world problem, reviewing relevant literature, defining project objectives, and designing an appropriate methodology, including selecting the appropriate AI algorithm(s). The course helps students develop research, planning, documentation, and presentation skills, and prepares them to implement AI-based solutions in medical or robotic applications during their capstone project.

100211620

BIOLOGY FOR MEDICAL SCIENCES

Basic knowledge in diverse biological topics, macromolecules structure and function, cell structure, function, division, basics of genetics including meiosis and sexual life cycles,Mendelian genetics, chromosomal and molecular basis of inheritance.

100211650

BIOLOGY LAB FOR MEDICAL STUDENTS

Observations, developing and testing of student formulated hypotheses, practical study of microscope, chemical composition of the cells, cell structure and function, enzymes, membrane and their transport mechanisms, respiration, fermentation, photosynthesis, cell division, principles in genetics and animal and plant tissues.

080112202

HISTOLOGY

The purpose of this course is to familiarize students with the basic microscopic anatomy of individual cells, tissues and organ systems. In so doing, this course will address the structure, function and interaction of cells, tissues and organ systems, as well as the microscopic identification of major cell and tissue types.