Online coding and AI classes in the Moquegua region

Figures from ENAHO, INEI's household survey, as printed in tables 11.5, 11.6 and 11.13 of volume one of the 2026 Compendio Estadístico. Decimal commas shown as points.

Check with the school before using a school laptop at home; some are lent for home use, others stay in class. Our lessons need a working browser, a microphone and a steady connection, which 70.5 per cent of Moquegua households had at home in 2025.

import csv
from collections import Counter

table = Counter()
with open("poblacion-unam-2026.csv", newline="", encoding="latin-1") as f:
    for row in csv.DictReader(f, delimiter=";"):
        if row["PERIODO"] == "2026-2":
            stage = "first year" if int(row["CICLO_RELATIVO"]) <= 2 else "later"
            table[(row["ESCUELA_PROFESIONAL"], stage)] += 1

school = "INGENIERÍA DE SISTEMAS E INFORMÁTICA"
new, rest = table[(school, "first year")], table[(school, "later")]
all_new = sum(n for (s, st), n in table.items() if st == "first year")
print("First-years in the school:", new, "| later cycles:", rest)
print("First-years as a share of the school:", round(100 * new / (new + rest), 1), "%")
print("The school as a share of all first-years:", round(100 * new / all_new, 1), "%")

Ninety-two of the 402 students in Sistemas e Informática are in their first two cycles: 22.9 per cent of the school. Those same 92 are 11.1 per cent of the university's 831 first-years. Neither number is wrong; they answer different questions. In a two-way table, the first is a row percentage, dividing across the school's row, and the second a column percentage, dividing down the first-year column. Version 2 builds both for every school and sorts by the first.

import csv
from collections import Counter

table = Counter()
with open("poblacion-unam-2026.csv", newline="", encoding="latin-1") as f:
    for row in csv.DictReader(f, delimiter=";"):
        if row["PERIODO"] == "2026-2":
            stage = "first year" if int(row["CICLO_RELATIVO"]) <= 2 else "later"
            table[(row["ESCUELA_PROFESIONAL"], stage)] += 1

schools = sorted({s for s, st in table})
all_new = sum(table[(s, "first year")] for s in schools)
print("Students:", sum(table.values()), "| first-years:", all_new)

def new_share(school):
    size = table[(school, "first year")] + table[(school, "later")]
    return 100 * table[(school, "first year")] / size

for school in sorted(schools, key=new_share):
    of_school = new_share(school)
    of_new = 100 * table[(school, "first year")] / all_new
    print(f"{school[:30]:30} {of_school:5.1f} {of_new:5.1f}")

Data: Universidad Nacional de Moquegua, Población estudiantil por sexo y escuela profesional, UNAM 2026, ODC-By, term 2026-2; only the school, term and cycle columns are used. "First year" means relative cycles 1 and 2, our grouping. Shares are ours. The second column adds to about 100 across schools, the first does not and should not.

Read the columns separately. Down the first, Ingeniería Pesquera has the largest first-year share, more than a third of its students, yet it holds only 4.5 per cent of the university's first-years, because it is a small school. Gestión Pública y Desarrollo Social is the opposite: under a fifth of its students are first-years, but it is so large that it still holds the biggest slice of all first-years, 12.0 per cent. A school can rank high on one measure and low on the other; that is the whole point.

1. Under 8, with crayons. Ten crayons: three red, all in one box of four. What part of the box is red? What part of the red crayons are in the box?
2. Blocks, around 8 to 10. Make a two-by-two grid of counts and ask a sprite to say one row share and one column share.
3. First Python, around 10 to 12. Edit Version 1 to look at MEDICINA. Predict which of the two percentages will be larger.
4. Ages 13 and over. Add a third column to Version 2: each school's share of all students in cycles 9 and 10. Which school is the largest slice of the final years?
5. Going further. Repeat Version 2 for term 2020-1 and compare. Has the first-year share of Sistemas e Informática changed since 2020?

Moquegua pupils can enter national contests on the same terms as everyone else. ONEM, the maths olympiad, holds its first round in each school; in 2026 that was on 8 July, and over 1.7 million secundaria pupils were called to take part. UTEC's computing olympiads, OPI included, are open to every secundaria pupil without charge. We are not linked with MINEDU, UTEC, UNAM, the regional government or any contest, and all our practice problems are our own.

Peru keeps UTC minus 5 hours the year round and has no daylight saving (tz database, America/Lima); India keeps UTC plus 5 hours 30 minutes. India is 10 hours 30 minutes ahead of Moquegua in every month.

With no clock changes in either country, a lesson hour fixed in March is still right in December. Book in your own time. Peru's school year for 2026 started on 16 March 2026, with 6,225,000 pupils in 53,631 schools; many families begin private lessons in the January to March holidays, and adults start in any month.