What skills will be developed in the course?

The Complex Data Mining Extension Course (MDC) aims to train professionals for the current job market, with an emphasis on: (1) improving data management with speed, capacity and scalability in mind; (2) develop techniques for visualizing these data; (3) finding new business opportunities; (4) improving the data analysis capacity; and (5) create predictive models using the most modern machine learning methods.

INF-0610

Extension course

Email: mdc@ic.unicamp.br

Phone Number: (19) 3521-5883

Presented by:

Overview

Format

The Complex Data Mining Extension Course (MDC) is made up of 9 subjects that teach the main concepts required by the job market, totaling 180 hours, with 144 hours of classes and 36 hours of supervised activities, fully online (via Zoom). Classes will be recorded, allowing students to watch the videos at times that are most convenient for them. Class videos will be available to students until the end of the course.

Certificate

Students who pass the 9 subjects will be entitled to the certificate of the Extension Course in Complex Data Mining (MDC), issued by the Unicamp Extension School (see the Certificate Template).

Teachers

The teaching staff of the Extension Course in Complex Data Mining (MDC) is made up of professors and researchers, all with doctorates, with extensive experience in the area.



  • Courses

    • DATA ANALYSIS (INF-0612 - Messing with Data)
    Teacher: Zanoni Dias
    Introduction to Data Analysis using the R Language. Data types (vectors, lists, matrices, data frames, etc.). Predefined functions. Implementation of functions in R. Treatment, analysis and visualization of data.
    Classes: Saturdays, from 8:30 AM to 12:30 PM, from August 15, 2026 to September 5, 2026, according to the schedule. Course Calendar.

    INFORMATION RECOVERY (INF-0611 - Gathering Data)
    Teacher: Lin Tzy Li
    Introduction to information retrieval. Ranking evaluation techniques. Unstructured data recovery concepts. Text recovery. Image recovery by content. Video recovery. Techniques for improving ranking quality.
    Classes: Saturdays, from 8:30 AM to 12:30 PM, from August 12, 2026 to September 5, 2026, according to the schedule. Course Calendar.

    VIEWING INFORMATION (INF-0614 - Viewing data)
    Teacher: Celmar Guimarães da Silva
    Theoretical and practical aspects of Information Visualization (InfoVis). Representation of data in a graphic and interactive way. InfoVis reference model. Characterization of data. Recommendations for visual mapping. Visualization of multidimensional data. Visualization of texts.
    Classes: Saturdays, from 8:30 AM to 12:30 PM, from August 10, 2026 to September 5, 2026, according to the schedule. Course Calendar.

    MACHINE LEARNING NOT SUPERVISED (INF-0613 - Exploring Data)
    Teacher: Hélio Pedrini
    Knowledge discovery. Information mining and understanding. Exploratory data analysis. Anomaly detection. Association rules. Dimensionality reduction. Attribute selection. Clustering techniques.
    Classes: Saturdays, from February 07, 2026 to March 6, 2026, according to the schedule. Course Calendar.

    SUPERVISED MACHINE LEARNING I (INF-0615 - Learning from Data)
    Professor: Gabriel Bertocco
    Classification problems. Decision boundaries. Linear and nonlinear classifiers, logistic regression, decision trees, and random forests. Overfitting and validation. Ensemble methods: bagging, boosting, and stacking. Cross-validation. Imbalance, bias and variance diagnosis. Evaluation measures. Model interpretation (X-AI) and classification in open-set settings.
    Classes: Saturdays, from February 13, 2027 to March 6, 2027, according to the schedule. Course Calendar.

    SUPERVISED MACHINE LEARNING II (INF-0616 - Thinking with Data I)
    Teacher: Esther Luna Colombini
    Introduction to the Python language. Support Vector Machines (SVMs): kernels (linear and non-linear), SVRs and one-class SVM. Regularization techniques. Grid-search and random-search. Neural networks: types of networks, forward and backward propagation, and activation functions. Statistical tests.
    Classes: Saturdays, from 8:30 AM to 12:30 PM, from August 13, 2027 to September 5, 2027, according to the schedule. Course Calendar.

    BIG DATA (INF-0617 - Big Data)
    Teacher: Lucas Francisco Wanner
    Introduction to parallel and distributed computing. Parallel data processing in Python. Distributed data processing with Map-Reduce and Hadoop Streaming. Introduction to tools for analyzing and processing data with Hadoop and Spark.
    Classes: Saturdays, from 8:30 AM to 12:30 PM, from August 17, 2027 to September 5, 2027, according to the schedule. Course Calendar.

    DEEP LEARNING (INF-0618 - Thinking with Data II)
    Teacher: Marcelo da Silva Reis
    Deep learning and convolutional neural networks (CNN). Convolution: padding and stride. Loss functions. Training: activation, pre-processing, data augmentation, weight initialization and parameter optimization functions. Regularization. Learning transfer. Recurrent Neural Networks (RNN). Transformers. Detection and Segmentation. Generative Adversarial Networks (GAN). Interpretability (X-AI). Tools: TensorFlow and Keras.
    Classes: Saturdays, from 8:30 AM to 12:30 PM, from August 15, 2027 to September 5, 2027, according to the schedule. Course Calendar.

    FINAL PROJECT (INF-0619 - Data @ Work)
    Teacher: Zanoni Dias
    Definition of target problem. Data identification and collection. Analysis of the techniques to be employed. Comparative study. Analysis, visualization and presentation of results.
    Classes: Saturdays, from 8:30 AM to 12:30 PM, from August 03, 2027 to September 5, 2027, according to the schedule. Course Calendar.




  • 100% Online Course

    • Classes will be held and broadcast live (via Zoom), with the participation of students in real time, on Saturdays, from 8:30 am to 12:30 pm, on the days indicated in Course Calendar. Classes will be recorded, allowing students to watch the videos at times that best suit them. Class videos will be available to students until the end of the course. Course materials (slides, tutorials, code, etc.) will be made available to students (via Moodle). Questions will be answered from Monday to Friday, with teachers and monitors, synchronously (via Zoom) and asynchronous (via Slack). Assessments will be carried out through practical work.



  • Registration

    • Registration is open for the Second Semester 2026 class.

    The following documents are required for registration:

    Registration Form and Term of Commitment signed digitally (documents generated by Online Pre-Registration)
    Diploma or Certificate of Completion of Undergraduate Course
    RG and CPF
    Curriculum
    Cover letter (optional, free format, one page, attach to CV, to be sent through the system)

    Important:

    After completing the course registration form, applicants will be directed to pay the registration fee (R$65,00, via bank transfer or credit card). Once the registration fee has cleared, the option to sign the commitment form and submit documents will be enabled in the Extecamp system (via the student area).
    Documents must be presented on the front and back, whenever there is any information recorded on the back of the document.
    Registration will take place after signing the term, delivering the documents indicated above and checking the documentation by the Extension Secretariat (itext@unicamp.br).
    The documents must be received by the Extecamp system by July 31, 2026 (Friday).
    If approved in the selection process, enrollment will be effective after payment of the first installment (or single installment) of the course.
    In case of doubts about the registration documentation, consult the Extension Secretariat (itext@unicamp.br).
    Late registration will not be accepted.




  • Investment

    • The total cost of the course (R$9.999,90) can be paid in up to 10 interest-free installments on your credit card.

    Special discounts (cumulative):

    R$1.500,00 discount for payment in cash, by bank slip or credit card.
    R$1.000,00 discount for payment in 3 interest-free installments, via bank slip.
    R$500,00 discount for payment in 5 interest-free installments, via bank slip.
    R$ 1.000,00 discount for Unicamp alumni (**).
    R$ 1.000,00 discount for registrations made until 06/30/2026 (*).
    R$ 500,00 discount for registrations made between 07/01/2026 and 07/15/2026 (*).

    Remarks:

    The discounts mentioned above will be applied manually after the selection process (the system may display prices without these discounts at the time of registration).
    The payment of the first monthly installment or the single installment, depending on the payment method chosen, must be made by 10/08/2026.
    To qualify for the early registration discount (*), all documents must be submitted by the dates indicated.
    To qualify for the Unicamp alumni discount (**), the candidate must present, at the time of registration, a diploma or certificate of completion of an undergraduate or postgraduate course (master's or doctorate) issued by Unicamp.
    As the discounts are cumulative, it is possible to obtain up to R$3.500,00 in discounts (considering the discounts listed above, applying the respective conditions).



  • Informations


    • Prerequisite: Full upper level. Basic programming knowledge.
    Target Audience: Computer professionals, trained in Computing or related areas (Engineering or Exact).
    Selection criteria: Analysis of Curriculum and Cover Letter (optional).
    Course type: Extension course.
    Class schedules: Saturdays, from 8:30 am to 12:30 pm, according to the Course Calendar.
    Required Material: As it is a course with a practical focus, all students must have a computer / notebook with internet access to follow the classes and proposed practical activities.
    Class size: A minimum of 50 and a maximum of 90 students.
    Course coordinator: Zanoni Days.




  • Calendar

    • Date Event
    01/06/2026 até 31/07/2026 Registration period
    31/07/2026 Deadline for submission of registration documents
    05/08/2026 Disclosure of candidates selected for registration
    10/08/2026 Maturity of the first or single installment
    15/08/2026 até 24/07/2027 Course offering period


    • Testimonials