Course Description: Foundational knowledge of Arabic grammar (Nahw) and morphology (Sarf). Focuses on sentence structure, nominal and verbal sentences, and basic vocabulary.
Learning Outcomes: a1) Identify basic Arabic grammar rules. a2) Recognize different sentence structures. b1) Differentiate between nominal and verbal sentences. c1) Construct simple grammatically correct sentences. d1) Appreciate the linguistic richness of Arabic language.

Course Description: Introduces fundamental concepts of Islamic culture, creed (Aqidah), worship (Ibadah), and ethics (Akhlaq). Explores the characteristics of Islamic civilization, its contributions to humanity, and its relevance to contemporary issues, particularly in medical and engineering fields.
Learning Outcomes: a1) Explain core Islamic beliefs and practices. a2) Recognize Islamic ethical principles. b1) Analyze the relationship between Islamic values and professional conduct. c1) Apply Islamic ethics to contemporary engineering and healthcare scenarios. d1) Demonstrate respect for diverse cultural and religious perspectives.

Course Description: Explores the history, geography, and cultural heritage of the nation. Covers key historical events, societal values, national identity, and the country's political and economic development.
Learning Outcomes: a1) Identify major historical events and figures. a2) Recognize the geographical features of the nation. b1) Analyze the development of national identity. c1) Connect historical events to contemporary society. d1) Demonstrate pride in national heritage and culture.

Course Description: Provides students with the language basics of everyday English to help them communicate in different real-life situations. Focuses on real-life conversations and basic grammar that will help each student in their major.
Learning Outcomes: a1) Identify alphabets, numbers, months, colors, dates, family, common adjectives, common verbs and personal information. a2) Recognize present simple tense, pronouns, questions, and pronunciation. b1) Realize the different uses of present simple, present continuous, and past simple tenses. c1) Apply tenses to form simple correct sentences. d1) Work effectively in a team. d2) Give simple formal presentations.

Course Description: Provides students with basic principles and concepts of chemistry including matter and energy, atomic theory, periodic table, solutions, and chemical reactions. Pharmacy and engineering students need to master these concepts.
Learning Outcomes: a1) Know the nature of matter and its properties. a2) Classify elements according to electronic structure. b1) Discriminate types of chemical reactions. c1) Handle chemicals safely. d1) Perform online searches for chemical information.

Course Description: Provides students with fundamental principles in mathematics including linear equations and applications, linear inequalities, absolute value, quadratic equations, power and logarithm, functions, limits, and continuity.
Learning Outcomes: a1) Show good knowledge of principles of mathematics. a2) Recognize notions of functions. b1) Organize mathematical concepts as laws and operations. c1) Implement concepts in algebra and calculus. d1) Work effectively in groups.

Course Description: Basic concepts and properties of DC electrical circuits and networks. Resistive network analysis, inductors and capacitors circuits, transient analysis of R-C and R-L circuits, introduction to AC.
Learning Outcomes: a1) Discuss knowledge of DC circuits and analysis methods. a2) Clarify circuit elements, sources, variables, and laws. b1) Propose suitable circuit laws such as KVL, KCL, superposition, mesh. c1) Employ electrical instrumentation in the laboratory. c2) Simulate DC circuits using computer programs. d1) Review methodology for team presentations.

Course Description: Basic skills for using computers in study environment, library, and home. Knowledge of basic computer and information technology concepts, operating systems, office software, internet access, and electronic communication.
Learning Outcomes: a1) Understand hardware/software components, computer networks, IT, internet services. a2) List file/folder operations. b1) Differentiate among computer types, storage devices, operating systems. c1) Perform basic computer operations. c2) Create, edit, and format documents, spreadsheets, and presentations. d1) Utilize computer for various purposes and write reports.

Course Description: Develops essential personal and interpersonal skills for academic and professional success including self-awareness, critical thinking, problem-solving, effective communication, teamwork, time management, and emotional intelligence.
Learning Outcomes: a1) Define life skills concepts. a2) Enumerate stages of each skill. b1) Discuss implementation steps. c1) Write self-reports about listening and dialogue practices. c2) Speak using effective body language. c3) Use scientific thinking methods. c4) Prepare practical self-development plans. d1) Work in groups serving society.

Course Description: Theoretical and applied course where students recite and memorize half of Juz' 'Amma (Surah At-Tariq to An-Nas). Study of etiquette of Quran recitation and application of Tajweed rules.
Learning Outcomes: a1) Explain rules of Tajweed, noon sakinah, meem sakinah. a2) Enumerate cases of tafkheem and tarqeeq. b1) Differentiate between various rules. c1) Apply Tajweed rules during recitation. d1) Adhere to Quranic etiquette and appreciate the importance of accurate recitation.

Course Description: Building on Arabic Language (1), this course delves deeper into complex grammatical structures and rhetoric (Balaghah). Focuses on analyzing classical and modern Arabic texts, improving writing skills for formal and academic purposes.
Learning Outcomes: a1) Identify advanced Arabic grammatical structures. a2) Recognize rhetorical devices in texts. b1) Analyze classical and modern Arabic texts. c1) Write formal and academic texts in Arabic. d1) Express ideas fluently in oral discussions.

Course Description: Advanced course on national culture focusing on contemporary issues, national发展战略, and the country's role in the regional and global context. Encourages critical analysis of social changes and promotes active citizenship.
Learning Outcomes: a1) Identify contemporary national issues. a2) Recognize the country's role in regional and global affairs. b1) Analyze social changes and their impact. c1) Propose solutions for national challenges. d1) Demonstrate active citizenship and commitment to national development.

Course Description: Continuation of English Language (1), advancing students' proficiency in English. Emphasizes reading comprehension of longer texts, academic writing (paragraphs and essays), listening to lectures, and oral presentations.
Learning Outcomes: a1) Identify advanced grammatical structures. a2) Recognize academic writing conventions. b1) Analyze complex texts for main ideas and details. c1) Write coherent paragraphs and short essays. d1) Deliver effective oral presentations on academic topics.

Course Description: Provides students with physical background for solving real problems. Includes physical quantities, vectors, Newton's Laws of Motion, properties of materials, waves and sound, electricity, magnetism, light and optics.
Learning Outcomes: a1) Define basic concepts of physical units and dimensional analysis. a2) Explain scalars/vectors, motion, force, energy, electricity, magnetism. a3) Make physics lab experiments. b1) Explore units, dimensions, electricity and magnetism phenomena. c1) Calculate and interpret experimental data. d1) Manage time, work in groups, search for information.

Course Description: Provides fundamental principles in calculus including limits, differentiation rules, implicit differentiation, integration, the link between differentiation and integration, integration rules, methods, and applications.
Learning Outcomes: a1) Know basic calculus concepts. a2) Identify functions and differential/integral calculus rules. a3) Recognize differentiation/integration methods and applications. b1) Hypothesize rigorous mathematical treatments. b2) Distinguish various integration methods. c1) Apply appropriate mathematical methods to compute differentiation and integration. d1) Work effectively in teams.

Course Description: Introduces fundamental biological knowledge about living organisms. Covers cell biology, macromolecules, enzymes, cell organelles, transport mechanisms, and basic genetics. Emphasizes correlation between biological processes and clinical applications in biomedical engineering.
Learning Outcomes: a1) Understand biological facts, terminology, concepts and principles. a2) Describe properties of macromolecules, cell organelles, enzymes and transport. b1) Correlate laboratory findings with biological processes. c1) Select techniques based on quality standards in labs. c2) Use microscopes and equipment safely. d1) Cooperate with supervisors and colleagues.

Course Description: AC circuit analysis, phasors, impedance, power, resonance, three-phase systems. Complex numbers analysis, series-parallel AC circuits, mesh/nodal analysis, superposition, Thevenin's theorem, maximum power transfer. Active/reactive/apparent power, polyphase systems.
Learning Outcomes: a1) Describe mesh, nodal, Thevenin, superposition methods for AC circuits. a2) Illustrate series-parallel AC circuits. a3) Clarify three-phase systems. b1) Propose suitable AC circuit theorems. b2) Analyze R, L, C, RL, RC, RLC circuits. c1) Design prescribed AC electrical systems. c2) Use electrical apparatus and simulation tools effectively.

Course Description: Provides theoretical and practical background in engineering drawing. Principles, terminologies, tools for precision in drawing and measurements. Includes first-angle, second-angle, third-angle, and fourth-angle projection. Orthographic projection, isometric views, dimensioning.
Learning Outcomes: a1) Define basic concepts of engineering drawing. a2) Knowledge of projection angles. b1) Distinguish between 3D objects, projections, and sections. c1) Be familiar with engineering drawing standards. c2) Present engineering drawing accurately. d1) Manage time and search for information. d2) Work in groups on class homework.

Course Description: Basic concepts of human anatomy and physiology. Structure and function of major organ systems including cardiovascular, respiratory, nervous, musculoskeletal, and digestive systems. Emphasis on understanding normal body function as a foundation for biomedical engineering applications.
Learning Outcomes: a1) Identify anatomical structures and their functions. a2) Explain physiological processes of major body systems. b1) Relate anatomical structures to physiological functions. c1) Apply anatomical and physiological knowledge to biomedical device design. d1) Communicate effectively with healthcare professionals using proper terminology.

Course Description: Major concepts of electrostatics and magnetostatics. Calculation of electric fields, magnetic fields, electric and magnetic forces, electric potential, electric flux, magnetic flux. Laws of electromagnetism and their applications in biomedical engineering.
Learning Outcomes: a1) Describe main concepts of electricity and magnetism. a2) Define laws to calculate electric force, potential, flux, and magnetic field. b1) Distinguish suitable experiments for magnetism concepts. b2) Differentiate methods for electromagnetic induction. c1) Calculate electric field, potential, magnetic field, and induced electromagnetic fields. d1) Justify research tasks, analyze results, write reports, and present in class.

Course Description: Fundamental concepts of conductors, insulators, semiconductors, and electronic devices. Structure, operation, characteristics, models, and applications of diodes (including special-purpose types). Structure, operation, and characteristics of BJT, JFET, and MOSFET including DC biasing circuits.
Learning Outcomes: a1) Explain semiconductor theory. a2) Describe structure and operation of diodes and transistors. a3) Recognize common types and applications. b1) Analyze diode and transistor circuits. b2) Design basic electronic circuits. c1) Use electronic training kits and instruments for lab experiments. c2) Employ electronic simulation programs. d1) Complete lab activities individually or in groups.

Course Description: Fundamental concepts of ordinary differential equations (ODE): definition, types, order, and power. Solutions of first-order ODEs (separate, homogeneous, exact, linear). General solutions of homogeneous second-order ODEs using characteristic equations. Partial solutions of inhomogeneous second-order ODEs. Practical applications for engineers.
Learning Outcomes: a1) Realize basic concepts of ODEs. b1) Classify differential equations by type. b2) Give solutions for first-order and higher-order ODEs. c1) Use differential equations to solve engineering problems. d1) Recognize ethical responsibilities of mathematical solutions. d2) Communicate effectively with others.

Course Description: Pivotal concepts of C language and problem-solving techniques for structure-based programming. Introduction to computers, internet, and web, progressing to vital C programming concepts including structured program development, iteration control, functions, arrays, and pointers.
Learning Outcomes: a1) Gain basics of computer architecture and programming languages. a2) Recognize data types and control flow constructs. b1) Formulate programming solutions for engineering problems. b2) Select appropriate language commands. c1) Develop programs using control statements, arrays, and pointers. c2) Implement programs in C compilers. d1) Work in group lab experiments and final project.

Course Description: Combination of statics and dynamics. Statics: equilibrium of bodies under forces, free body diagrams, moments, couples, structural analysis, trusses. Dynamics: kinematics and kinetics of particles and rigid bodies, equations of motion, work-energy, impulse-momentum.
Learning Outcomes: a1) Recognize basic principles of engineering mechanics. a2) Analyze and solve equilibrium and kinetics/kinematics problems. b1) Analyze 2D and 3D force systems. b2) Propose innovative solutions for practical applications. d1) Develop understanding of mechanics principles. d2) Cooperate successfully as part of a team managing engineering projects.

Course Description: Overview of the biomedical engineering field including its history, sub-disciplines, and applications. Introduction to medical devices, diagnostic and therapeutic equipment, regulatory affairs, ethics, and professional practice. Case studies of biomedical engineering innovations.
Learning Outcomes: a1) Define biomedical engineering and its scope. a2) Identify major sub-disciplines and applications. b1) Analyze biomedical engineering problems. c1) Apply engineering principles to healthcare challenges. d1) Demonstrate awareness of ethical and regulatory issues in biomedical engineering.

Course Description: Principles and analysis of common electronic amplifier circuits. Operational amplifier (Op-Amp) and its applications. DC and AC analysis of BJT amplifiers (common-emitter, common-collector, common-base, multistage, differential). Op-Amp circuits including comparators, summing amplifiers, integrators, differentiators. Frequency response of Op-Amp and common-emitter amplifiers.
Learning Outcomes: a1) Classify BJT amplifier circuit diagrams. a2) Explain fundamental Op-Amp principles. a3) Clarify frequency responses. b1) Analyze BJT and Op-Amp circuits. b2) Differentiate current/voltage amplifiers. b3) Design BJT amplifiers and Op-Amp applications. c1) Apply electronic instrumentation and simulation tools. d1) Take responsibility during lab activities and projects.

Course Description: Advanced C programming concepts: structures, file I/O, dynamic memory allocation, linked lists, and introduction to object-oriented programming. Emphasis on programming for biomedical applications and data processing.
Learning Outcomes: a1) Understand advanced programming constructs. b1) Design programs for data processing. c1) Implement file I/O and dynamic data structures. d1) Work in teams to develop biomedical applications.

Course Description: Structure and function of biomolecules (proteins, carbohydrates, lipids, nucleic acids). Enzyme kinetics, metabolic pathways, and their regulation. Integration of biochemical principles with biomedical engineering applications, biosensors, and diagnostic devices.
Learning Outcomes: a1) Describe structure and function of biomolecules. a2) Explain major metabolic pathways. b1) Interpret biochemical data for diagnostic applications. c1) Apply biochemical principles to biosensor design. d1) Work effectively in laboratory teams.

Course Description: Classification of biological signals, systems response, linear time-invariant systems, convolution, Fourier series/transform, Laplace transform. Application to ECG, EEG, EMG signal analysis and processing.
Learning Outcomes: a1) Recognize basic biomedical signals. a2) Identify system properties. b1) Formulate differential equations for biological systems. b2) Examine Fourier/Laplace transforms for signal analysis. c1) Perform convolution for system response. c2) Interpret biomedical signals in frequency domain. d1) Work in groups on biomedical signal projects.

Course Description: Descriptive statistics, measures of central tendency and dispersion, correlation, regression, probability distributions, hypothesis testing, and applications in biomedical data analysis.
Learning Outcomes: a1) Recognize statistical concepts. b1) Calculate measures of central tendency and dispersion. b2) Apply probability laws to engineering problems. c1) Use statistical distributions for data analysis. c2) Solve problems using SPSS. d1) Work effectively in groups.

Course Description: Application of mechanics principles to biological systems. Kinematics and kinetics of human movement, mechanical properties of tissues (bone, cartilage, muscle), joint mechanics, gait analysis, and orthopedic biomechanics.
Learning Outcomes: a1) Understand biomechanical principles. a2) Describe mechanical properties of biological tissues. b1) Analyze human movement using biomechanical models. c1) Apply mechanics to orthopedic and rehabilitation engineering. d1) Work in teams for biomechanical analysis projects.

Course Description: Electronic circuits for biomedical applications, biopotential amplifiers, isolation amplifiers, signal conditioning, filters, and measurement techniques for physiological parameters. Design and analysis of biomedical instrumentation.
Learning Outcomes: a1) Explain principles of biomedical electronic circuits. a2) Describe measurement techniques for physiological signals. b1) Analyze biomedical amplifier circuits. c1) Design biomedical measurement systems. d1) Work in teams on biomedical instrumentation projects.

Course Description: Design thinking methodology, problem identification, concept generation, prototyping, and testing of biomedical devices. Emphasis on innovation, user-centered design, and regulatory considerations for medical devices.
Learning Outcomes: a1) Understand design process for biomedical devices. a2) Identify clinical needs and translate to engineering specifications. b1) Generate and evaluate design concepts. c1) Develop and test prototypes. d1) Document design process and communicate with stakeholders.

Course Description: Principles and operation of laboratory medical instruments including spectrophotometers, centrifuges, analyzers, microscopes, and diagnostic equipment. Calibration, quality control, and maintenance procedures.
Learning Outcomes: a1) Describe working principles of laboratory instruments. a2) Explain calibration and quality control procedures. b1) Select appropriate instruments for specific tests. c1) Operate laboratory instruments safely and correctly. d1) Maintain laboratory equipment and troubleshoot issues.

Course Description: Number systems, logic gates, Boolean algebra, combinational and sequential logic circuits, flip-flops, counters, registers, and digital system design. Introduction to HDL and simulation tools.
Learning Outcomes: a1) Classify number systems and logic gates. a2) Simplify Boolean expressions. b1) Design combinational and sequential circuits. c1) Simulate digital circuits using simulation software. c2) Implement digital circuits in hardware. d1) Work in groups on digital design projects.

Course Description: Discrete-time signals and systems, Z-transform, DFT, FFT, digital filter design (FIR and IIR), and applications in biomedical signal processing (ECG, EEG, EMG filtering and analysis).
Learning Outcomes: a1) Understand discrete-time signal concepts. a2) Describe digital filter design methods. b1) Analyze signals using Z-transform and DFT. c1) Design digital filters for biomedical applications. c2) Implement DSP algorithms in MATLAB/Python. d1) Work in teams on biomedical signal processing projects.

Course Description: DC and AC machines (motors and generators), transformers, and their applications in medical devices (hospital beds, surgical tools, imaging equipment). Speed control, starting, and protection.
Learning Outcomes: a1) Describe construction and operation of electrical machines. a2) Explain characteristics of DC and AC machines. b1) Select appropriate machines for medical applications. c1) Perform tests on electrical machines. d1) Work in teams on laboratory experiments.

Course Description: Principles of sensors and transducers for measuring physiological parameters: temperature, pressure, flow, motion, biopotentials (ECG, EEG, EMG), blood oxygen, pH, and glucose. Sensor interfacing and signal conditioning.
Learning Outcomes: a1) Explain working principles of biomedical sensors. a2) Describe sensor characteristics and selection criteria. b1) Design sensor interface circuits. c1) Characterize and calibrate biomedical sensors. d1) Work in teams on sensor-based biomedical projects.

Course Description: Therapeutic medical devices including pacemakers, defibrillators, ventilators, infusion pumps, dialysis machines, and surgical lasers. Principles of operation, safety, and clinical applications.
Learning Outcomes: a1) Describe principles of therapeutic medical devices. a2) Explain safety considerations for therapeutic equipment. b1) Analyze therapeutic device operation. c1) Perform basic maintenance and testing of therapeutic devices. d1) Communicate effectively with clinical staff about device use.

Course Description: Feedback control systems applied to physiological systems and medical devices. Transfer functions, stability analysis, PID control, and applications in drug delivery systems, anesthesia, and physiological regulation.
Learning Outcomes: a1) Define control system concepts. a2) Describe characteristics of physiological control systems. b1) Analyze stability of biomedical control systems. c1) Design PID controllers for medical applications. c2) Simulate control systems using MATLAB. d1) Work in teams on control system projects.

Course Description: Microcontroller architecture, programming (C/Assembly), interfacing with sensors and actuators, real-time operating systems, and embedded systems design for biomedical applications (wearable devices, patient monitoring).
Learning Outcomes: a1) Describe microcontroller architecture and peripherals. b1) Select appropriate microcontrollers for biomedical applications. c1) Write and debug embedded C programs. c2) Interface sensors and actuators to microcontrollers. d1) Design embedded systems for medical devices. d2) Work individually and in teams on embedded projects.

Course Description: AI and machine learning techniques for biomedical applications: supervised/unsupervised learning, neural networks, deep learning, and applications in medical diagnosis, image analysis, and patient monitoring.
Learning Outcomes: a1) Explain AI/ML concepts and algorithms. a2) Recognize applications in biomedical engineering. b1) Evaluate machine learning models for medical data. c1) Implement AI algorithms using Python. c2) Apply AI to biomedical signal/image analysis. d1) Work in teams on AI-driven biomedical projects.

Course Description: Preventive and corrective maintenance of medical equipment, troubleshooting, safety testing, calibration, documentation, and management of medical device inventory in healthcare facilities.
Learning Outcomes: a1) Describe maintenance procedures for medical equipment. a2) Identify common equipment faults. b1) Analyze troubleshooting strategies. c1) Perform preventive maintenance tasks. c2) Document maintenance activities. d1) Work effectively in clinical engineering teams.

Course Description: Principles and operation of medical imaging modalities including X-ray, CT, MRI, ultrasound, nuclear medicine (PET, SPECT). Image formation, reconstruction, quality, safety, and clinical applications.
Learning Outcomes: a1) Explain physical principles of imaging modalities. a2) Describe image formation and reconstruction. b1) Compare imaging modalities for diagnostic applications. c1) Perform basic image quality assessment. d1) Apply radiation safety principles in imaging.

Course Description: Safety management in healthcare facilities: electrical safety, fire safety, radiation safety, biological hazards, medical gas systems, and regulatory compliance (JCI, ISO). Risk assessment and emergency preparedness.
Learning Outcomes: a1) Identify safety hazards in hospitals. a2) Explain safety standards and regulations. b1) Assess risks in healthcare environments. c1) Implement safety protocols. d1) Promote safety culture in healthcare facilities.

Course Description: First phase of capstone design project: problem identification, literature review, project proposal, preliminary design, and simulation. Students work in teams on biomedical engineering design problems.
Learning Outcomes: a1) Define project scope and objectives. a2) Conduct literature review. b1) Generate design concepts. c1) Develop preliminary designs and simulations. d1) Write project proposal and present to faculty.

Course Description: Industrial internship in biomedical engineering-related industry or healthcare facility. Practical experience in medical equipment maintenance, clinical engineering, or medical device development.
Learning Outcomes: a1) Apply engineering knowledge in real-world settings. a2) Understand workplace safety and ethics. b1) Analyze technical problems in practice. c1) Perform technical tasks under supervision. d1) Communicate effectively with professionals and prepare training report.

Course Description: Research design, literature review, data collection methods, statistical analysis, ethical considerations, and scientific writing. Preparation of research proposals and reports for biomedical engineering research.
Learning Outcomes: a1) Identify research problems. a2) Design research methodologies. b1) Analyze and interpret data. c1) Write research proposals and reports. d1) Apply ethical principles in research.

Course Description: First elective course from the program's elective requirements. Students choose from specialized topics in biomedical engineering to deepen their knowledge in areas of interest.
Learning Outcomes: Varies by selected elective; advanced knowledge in specific biomedical engineering domain.

Course Description: Advanced statistical methods for biomedical data analysis: descriptive statistics, probability distributions, hypothesis testing, regression analysis, ANOVA, and non-parametric tests.
Learning Outcomes: a1) Understand statistical concepts. b1) Select appropriate tests for data. c1) Perform statistical analysis using software. d1) Interpret statistical results in biomedical context.

Course Description: Digital image processing techniques applied to medical images: enhancement, segmentation, registration, feature extraction, and classification. Applications in X-ray, CT, MRI, and ultrasound images.
Learning Outcomes: a1) Explain image processing fundamentals. a2) Describe segmentation and registration techniques. b1) Apply enhancement and filtering to medical images. c1) Implement image processing algorithms using MATLAB/Python. d1) Work in teams on medical image analysis projects.

Course Description: Continuation of Graduation Project (1): implementation, testing, validation, and final reporting. Students complete their capstone design project and present results to faculty committee.
Learning Outcomes: a1) Implement project design. a2) Conduct testing and validation. b1) Analyze results and draw conclusions. c1) Write comprehensive final report. d1) Deliver oral presentation and defend project outcomes.

Course Description: Properties, classification, and applications of biomaterials in medical devices: metals, ceramics, polymers, and composites. Biocompatibility, tissue response, sterilization, and regulatory aspects.
Learning Outcomes: a1) Classify biomaterials and their properties. a2) Explain biocompatibility and tissue response. b1) Select appropriate biomaterials for medical applications. c1) Evaluate biomaterial performance for implants. d1) Work in teams on biomaterials research projects.

Course Description: Second elective course from the program's elective requirements. Students choose from specialized topics to complement their graduation project and career interests.
Learning Outcomes: Varies by selected elective; advanced knowledge in specific biomedical engineering domain.

Course Description: IoT architecture, sensors, connectivity protocols, cloud computing, and data analytics for healthcare applications. Remote patient monitoring, wearable devices, and smart hospitals.
Learning Outcomes: a1) Explain IoT fundamentals. a2) Describe IoT architectures for healthcare. b1) Design IoT-based healthcare solutions. c1) Implement sensor data acquisition and transmission. d1) Work in teams on IoT healthcare projects.

Course Description: Data science techniques for biomedical data: data cleaning, visualization, machine learning, predictive modeling, and clinical decision support systems.
Learning Outcomes: a1) Understand data science principles. a2) Apply ML algorithms to biomedical data. b1) Analyze and visualize biomedical datasets. c1) Implement predictive models for clinical applications. d1) Work in teams on data science projects.

Course Description: Mathematical modeling of physiological systems (cardiovascular, respiratory, neural). Simulation techniques and applications in medical device design and clinical decision support.
Learning Outcomes: a1) Develop mathematical models of physiological systems. a2) Simulate physiological processes. b1) Validate models against experimental data. c1) Use simulation tools for biomedical applications. d1) Work in teams on modeling projects.

Course Description: Emerging and advanced topics in biomedical engineering including regenerative medicine, tissue engineering, nanomedicine, and personalized medicine.
Learning Outcomes: a1) Understand emerging biomedical technologies. a2) Evaluate new developments in the field. b1) Analyze research literature. c1) Apply advanced concepts to design problems. d1) Present findings effectively.

Course Description: Hospital planning, facility design, medical equipment planning, healthcare management, quality improvement, and accreditation standards for healthcare facilities.
Learning Outcomes: a1) Understand hospital design principles. a2) Explain medical equipment planning and management. b1) Analyze healthcare facility requirements. c1) Design hospital layouts and equipment plans. d1) Work in teams on healthcare facility projects.

Course Description: Fluid mechanics principles applied to biological systems: blood flow in cardiovascular system, respiratory fluid dynamics, microcirculation, and biomedical device fluid interactions.
Learning Outcomes: a1) Understand biofluid mechanics principles. a2) Analyze fluid flow in biological systems. b1) Apply fluid dynamics to cardiovascular/ respiratory systems. c1) Perform computational fluid dynamics simulations. d1) Work in teams on biofluids projects.

Course Description: Design and fabrication of prosthetic and orthotic devices. Biomechanics of artificial limbs, materials, control systems (including myoelectric control), and clinical considerations.
Learning Outcomes: a1) Understand prosthetic/orthotic principles. a2) Describe control systems for prosthetics. b1) Analyze biomechanical requirements for prostheses. c1) Design prosthetic components. d1) Work in teams on prosthetic device projects.