Overview of theories and science of practice in clinical psychology, with particular focus on the process and specific interventions in psychotherapy as informed by different perspectives.

Children?s thought and its development, including changing conceptions of physical reality and the development of logical thinking and intelligence. Current research and applications are examined.

Review of descriptive statistics and basic research methodology. Experimental methods and research design including one-way analyses, factorial designs, repeated measures, analysis of covariance, and the analyses of main effects, simple effects and interaction comparisons. Research and publication ethics.

This course will review current research and theoretical issues about cognitive development. Major research areas that will be covered are theory of mind, joint attention, language, memory, numerical cognition, social cognition, and implications of atypical cognitive development. Interfaces with socioemotional development will also be emphasized.

A critical discussion of recent research in selected contemporary areas of cognition and memory. Topics include working memory, attention, reading, prediction, intelligence, language, semantic and episodic memory, decision-making, and other related topics. Our focus will be on human cognitive processes and how they relate to social behavior, development, and pathology, with additional readings about primate cognition for comparative and evolutionary perspectives.

A series of presentations by faculty, outside speakers and students.

Psychological evaluation, interview and psychotherapy practices in partner clinics throughout 3rd and 4th semester of the program.

Follow-up and discussion of internship cases in group or individual format.

Follow-up and discussion of internship cases in group or individual format.

A series of presentations by faculty, outside speakers and students.

Multidisciplinary approach to psychiatric disorders. The content of the course will cover the diagnosis and treatment principles of common psychiatric disorders, the care of adult and childhood patients in emergency services, outpatient clinics and inpatient services. The students will participate in the proceedings of Adult and Pediatric Psychiatry. The program will include lectures, panels, symposia and clinical presentations.

Multidisciplinary approach to psychiatric disorders. The content of the course will cover the diagnosis and treatment principles of common psychiatric disorders, the care of adult and childhood patients in emergency services, outpatient clinics and inpatient services. The students will participate in the proceedings of Adult and Pediatric Psychiatry. The program will include lectures, panels, symposia and clinical presentations.

Toplum bazında sağlık kavramı tanıtılacak ve sağlığın ölçütleri irdelenecektir. Konu başlıkları, sağlıklı olma halinin ölçütleri, bir toplumun sağlık parametrelerinin değerlendirilmesi, halk sağlığında kanıta dayalı yaklaşım, dünyada ve Türkiye?de sık görülen halk sağlığı sorunlarının gözden geçirilmesi, sık görülen sorunların önlenmesi için gerekli yaklaşımlar, sağlıkta kalite ölçütleri, sağlık sisteminin yapılanması ve farklı sağlık sistemlerinin karşılaştırılması.

Statistical techniques in business data analysis; decision making under uncertainty. Concept of loss functions, decision trees, Bayes' Rule; correlation analysis, simple and multiple regression analysis (variable selection, model building, residual analysis); exponential smoothing methods; autoregressive (AR), moving average (MA), and ARMA models; introduction to intervention analysis, outlier-level shift-variance change detection procedures , and autoregressive conditional heteroscedasticity models. Extensive use of computer-based computational tools and business applications.

Statistical techniques in business data analysis; decision making under uncertainty. Concept of loss functions, decision trees, Bayes' Rule; correlation analysis, simple and multiple regression analysis (variable selection, model building, residual analysis); exponential smoothing methods; autoregressive (AR), moving average (MA), and ARMA models; introduction to intervention analysis, outlier-level shift-variance change detection procedures , and autoregressive conditional heteroscedasticity models. Extensive use of computer-based computational tools and business applications.

Fundamental quantitative methods for business decision making: problem formulation, analysis, and use of management science tools, such as linear and integer programming, decision analysis and Monte Carlo simulation with spreadsheets. Extensive use of business applications.

Fundamental quantitative methods used in business decision-making: mathematical programming, stochastic modeling, and simulation, with emphasis on formulation, analysis, and implementation.

An introduction to the basic concepts of model building and forecasting. Extrapolation methods, multiple linear regression, decision analysis, simulation and linear programming. Strong emphasis placed on practical applications and decision making. Developing basic analytical skills, such as formalizing trade-offs, specifying constraints, providing for uncertainty, and performing sensitivity analysis.

Multidisciplinary approach to the diagnosis of respiratory diseases: Mechanisms of diseases, pathologic findings, clinical presentations, laboratory tests, diagnostic imaging and treatment. Topics include diseases of upper respiratory tract, pulmonary infections, tuberculosis, obstructive pulmonary diseases, interstitial lung diseases, pleural diseases, tumors of upper respiratory tract, lung, mediastinum and pleura.

The aim of the course is research capacity building among undergraduate medical students through a hands-on approach. RMHS adopts a student-centered approach design is based on active learning where student research groups develop a research project and carry out the project until the reporting phase on their own under supervision by a faculty. Overall objectives of the course are: • Define the cross-sectional, cohort, and case-control designs. • Differentiate the differences between study designs • Interpret the biases in a scientific manuscript • Define the effect estimates (relative risk, odds ratio, hazard ratio) • Define the role of the chance in scientific studies. • Define the descriptive statistics • Describe statistical tests (univariate and multivariate) • Describe the probability (p value) • Interpret the confidence intervals (skill) • Define hypothesis (skill) • Define the steps of survey design • Describe the important aspects of questionnaire-based survey • Develop a sound questionnaire • Describe the ways to effectively administer a questionnaire • Collect data (skill) • Visualize the study findings (skill) • Analyze collected data (skill) • Write a report (skill) • Present the findings (skill)